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[FreeCourseSite.com] Udemy - Data Engineering Essentials using SQL, Python, and PySpark
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45 - Recap of important Linux Commands for Data Engineering
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005 Understanding PATH Environment Variable.mp4 - 132.72 MB
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002 Overview of SSH to connect to remote Servers.mp4 - 113.09 MB
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010 Listing Files and Folders using ls command.mp4 - 80.07 MB
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007 Copy Files and Folders in Linux using cp command.mp4 - 75.56 MB
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013 Troubleshooting issues in Linux using grep command.mp4 - 68.02 MB
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012 Standard Directories in Linux.mp4 - 64.41 MB
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014 Overview of Shell Scripts.mp4 - 61.78 MB
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009 Delete Files and Folders in Linux using rm command.mp4 - 61.62 MB
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006 Creating Folders in Linux using mkdir.mp4 - 60.12 MB
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004 Overview of Environment Variables in Linux.mp4 - 42.61 MB
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003 Overview of Profile in Linux Shell.mp4 - 36.68 MB
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015 Running and Debugging Shell Scripts with Arguments.mp4 - 32.23 MB
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016 Overview of Hadoop and Spark Executables.mp4 - 29.99 MB
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008 Move Files and Folders in Linux using mv command.mp4 - 27.57 MB
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011 Searching for files using find command in Linux.mp4 - 22.37 MB
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001 Introduction to Linux Commands and Scripts for Data Engineers.mp4 - 5.45 MB
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002 Overview of SSH to connect to remote Servers_en.srt - 32.01 KB
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005 Understanding PATH Environment Variable_en.srt - 28.41 KB
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013 Troubleshooting issues in Linux using grep command_en.srt - 20.28 KB
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014 Overview of Shell Scripts_en.srt - 16.49 KB
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010 Listing Files and Folders using ls command_en.srt - 15.85 KB
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007 Copy Files and Folders in Linux using cp command_en.srt - 15.29 KB
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015 Running and Debugging Shell Scripts with Arguments_en.srt - 15.06 KB
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006 Creating Folders in Linux using mkdir_en.srt - 14.16 KB
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009 Delete Files and Folders in Linux using rm command_en.srt - 13.85 KB
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012 Standard Directories in Linux_en.srt - 13.56 KB
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016 Overview of Hadoop and Spark Executables_en.srt - 11.89 KB
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003 Overview of Profile in Linux Shell_en.srt - 11.75 KB
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004 Overview of Environment Variables in Linux_en.srt - 10.53 KB
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008 Move Files and Folders in Linux using mv command_en.srt - 10.4 KB
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011 Searching for files using find command in Linux_en.srt - 9.44 KB
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001 Introduction to Linux Commands and Scripts for Data Engineers_en.srt - 4.22 KB
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51 - Submitting Python based Spark Applications
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012 Submit Spark Applications with dependencies as jars.mp4 - 123.55 MB
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010 Deep Dive into Spark Deploy Modes.mp4 - 83.43 MB
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011 Submit Spark Applications with dependencies as packages.mp4 - 75.94 MB
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013 Develop Shell Wrappers to submit Spark Applications.mp4 - 54.03 MB
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004 Specify Paths using Environment Variables in Spark Applications.mp4 - 49.68 MB
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008 Review YARN Logs for Spark Applications in Cluster Mode.mp4 - 46.51 MB
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009 Overview of Execution Process of Spark Applications.mp4 - 34.54 MB
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002 Develop Pyspark Application for Daily Revenue.mp4 - 32.36 MB
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003 Run Spark Application using spark-submit.mp4 - 31.93 MB
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006 Run Spark Application with Environment Variables in Cluster Mode.mp4 - 29.38 MB
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005 Run Spark Application with Environment Variables in Client Mode.mp4 - 13.13 MB
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007 Review Spark Application Details using Spark UI.mp4 - 12.47 MB
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001 Introduction to Submitting Python based Spark Applications.mp4 - 1.99 MB
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012 Submit Spark Applications with dependencies as jars_en.srt - 24.72 KB
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010 Deep Dive into Spark Deploy Modes_en.srt - 19.99 KB
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011 Submit Spark Applications with dependencies as packages_en.srt - 18.65 KB
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013 Develop Shell Wrappers to submit Spark Applications_en.srt - 11.81 KB
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009 Overview of Execution Process of Spark Applications_en.srt - 11.61 KB
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008 Review YARN Logs for Spark Applications in Cluster Mode_en.srt - 11.25 KB
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004 Specify Paths using Environment Variables in Spark Applications_en.srt - 9.35 KB
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003 Run Spark Application using spark-submit_en.srt - 9.18 KB
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002 Develop Pyspark Application for Daily Revenue_en.srt - 8.71 KB
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006 Run Spark Application with Environment Variables in Cluster Mode_en.srt - 7.11 KB
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005 Run Spark Application with Environment Variables in Client Mode_en.srt - 6.24 KB
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007 Review Spark Application Details using Spark UI_en.srt - 5.14 KB
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001 Introduction to Submitting Python based Spark Applications_en.srt - 1.86 KB
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47 - Build Hive Applications in Hadoop and Spark Clusters
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019 Schedule Hive Applications using Cron.mp4 - 113.22 MB
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002 Getting Started with Hive.mp4 - 71.7 MB
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005 Run Hive Commands using Scripts.mp4 - 69.75 MB
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018 Overview of Scheduling and Crontab.mp4 - 55.83 MB
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007 Getting Started Data Loader for NYSE Data using HIve.mp4 - 54.38 MB
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013 Run Hive QL Commands using Script for NYSE Loader.mp4 - 52.46 MB
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015 Validate Hive Application to Convert NYSE Data.mp4 - 49.92 MB
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009 Create Partitioned Parquet Table for NYSE Data.mp4 - 46.57 MB
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004 Overview of Integrating Hive Commands with Shell Scripts.mp4 - 43.46 MB
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014 Redesign the Solution using HDFS to stage files.mp4 - 43.04 MB
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006 Override Run time Hive Configuration Properties and Variables.mp4 - 42.98 MB
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011 Process NYSE Data and load into partitioned table.mp4 - 37.82 MB
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020 Recap of Application Development Life Cycle using Hive.mp4 - 32.57 MB
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012 Develop Hive QL Script to Load NYSE Data.mp4 - 31.11 MB
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010 Populate Data into Partitioned NYSE table from Stage Table.mp4 - 28.76 MB
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008 Design NYSE Data Loader Application.mp4 - 26.6 MB
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017 Develop Shell Wrapper to run Hive Application.mp4 - 25.81 MB
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016 Deploy Hive Application in HDFS.mp4 - 23.74 MB
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003 Overview of Hive Architecture.mp4 - 22.3 MB
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001 Introduction to Building Hive Applications.mp4 - 2.81 MB
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002 Getting Started with Hive_en.srt - 23.06 KB
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019 Schedule Hive Applications using Cron_en.srt - 18.83 KB
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014 Redesign the Solution using HDFS to stage files_en.srt - 18.49 KB
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009 Create Partitioned Parquet Table for NYSE Data_en.srt - 18.25 KB
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006 Override Run time Hive Configuration Properties and Variables_en.srt - 17.65 KB
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010 Populate Data into Partitioned NYSE table from Stage Table_en.srt - 16.1 KB
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018 Overview of Scheduling and Crontab_en.srt - 14.43 KB
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005 Run Hive Commands using Scripts_en.srt - 14 KB
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015 Validate Hive Application to Convert NYSE Data_en.srt - 13.33 KB
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013 Run Hive QL Commands using Script for NYSE Loader_en.srt - 12.51 KB
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007 Getting Started Data Loader for NYSE Data using HIve_en.srt - 12.3 KB
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003 Overview of Hive Architecture_en.srt - 12.01 KB
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017 Develop Shell Wrapper to run Hive Application_en.srt - 11.52 KB
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004 Overview of Integrating Hive Commands with Shell Scripts_en.srt - 11.51 KB
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008 Design NYSE Data Loader Application_en.srt - 8.84 KB
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011 Process NYSE Data and load into partitioned table_en.srt - 8.72 KB
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016 Deploy Hive Application in HDFS_en.srt - 8.21 KB
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020 Recap of Application Development Life Cycle using Hive_en.srt - 8.18 KB
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012 Develop Hive QL Script to Load NYSE Data_en.srt - 8.09 KB
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001 Introduction to Building Hive Applications_en.srt - 3.09 KB
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44 - Setup Hadoop and Spark Cluster using Dataproc
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007 Setup Project using VS Code Remote Development.mp4 - 93.87 MB
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009 Getting Started with HDFS Commands to Manage Files.mp4 - 56.51 MB
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003 Overview of Hadoop and Spark Cluster Types and Architecture.mp4 - 44.85 MB
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005 Validate SSH Connectivity to the Dataproc Cluster.mp4 - 31.65 MB
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002 Overview of different Spark Platforms on Cloud.mp4 - 29.37 MB
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010 Getting Started with Spark CLI using Python.mp4 - 27.03 MB
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006 Convert IP Address to Static for Dataproc Cluster.mp4 - 19.65 MB
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011 Getting Started with Spark CLI using Scala.mp4 - 18.77 MB
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014 Download VS Code Workspace and Delete Cluster.mp4 - 17.66 MB
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004 Setup Single Node Hadoop and Spark Cluster using Dataproc.mp4 - 14.01 MB
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013 Stopping the Cluster and Understanding the costs.mp4 - 12.15 MB
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012 Getting Started with Spark CLI using SQL.mp4 - 11.35 MB
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008 Setup Local Data Sets on Hadoop and Spark Cluster.mp4 - 7.74 MB
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001 Introduction to Setup Hadoop and Spark Cluster using Dataproc.mp4 - 6.6 MB
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007 Setup Project using VS Code Remote Development_en.srt - 23.41 KB
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003 Overview of Hadoop and Spark Cluster Types and Architecture_en.srt - 15.44 KB
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009 Getting Started with HDFS Commands to Manage Files_en.srt - 11.96 KB
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005 Validate SSH Connectivity to the Dataproc Cluster_en.srt - 10.22 KB
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002 Overview of different Spark Platforms on Cloud_en.srt - 9.36 KB
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013 Stopping the Cluster and Understanding the costs_en.srt - 9.04 KB
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012 Getting Started with Spark CLI using SQL_en.srt - 8.46 KB
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014 Download VS Code Workspace and Delete Cluster_en.srt - 7.47 KB
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010 Getting Started with Spark CLI using Python_en.srt - 7.23 KB
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006 Convert IP Address to Static for Dataproc Cluster_en.srt - 6.23 KB
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011 Getting Started with Spark CLI using Scala_en.srt - 6.17 KB
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004 Setup Single Node Hadoop and Spark Cluster using Dataproc_en.srt - 5.81 KB
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001 Introduction to Setup Hadoop and Spark Cluster using Dataproc_en.srt - 5.37 KB
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008 Setup Local Data Sets on Hadoop and Spark Cluster_en.srt - 3.63 KB
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46 - Mastering Hadoop HDFS Commands and Concepts
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018 Recap of HDFS on Dataproc Cluster.mp4 - 86.36 MB
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014 Overview of Blocks related to files in HDFS.mp4 - 83.83 MB
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017 Overview of HDFS Namenode for HDFS File Metadata.mp4 - 64.64 MB
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007 Overview of Multinode Hadoop Cluster.mp4 - 63.68 MB
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015 Overview of Replication related to files in HDFS.mp4 - 62.01 MB
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011 Setup Data Sets to understand HDFS Concepts.mp4 - 58.99 MB
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013 Determining Number of Blocks for each file.mp4 - 58.37 MB
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010 Overview of local storage of files.mp4 - 57.62 MB
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016 Physical Storage of HDFS File Blocks.mp4 - 55.09 MB
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006 Programmatically Copy files into HDFS using Python.mp4 - 46.11 MB
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003 Create Hadoop and Spark Cluster and Setup VS Code Workspace.mp4 - 38.51 MB
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008 Review Important Properties of HDFS.mp4 - 37.36 MB
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005 Create Folder and Copy Files into HDFS using Commands.mp4 - 33.88 MB
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009 Review HDFS Properties on Dataproc Cluster using VS Code.mp4 - 29.82 MB
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012 Overview of Distributed Storage of files in HDFS.mp4 - 29.09 MB
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004 Overview of important HDFS Commands.mp4 - 16.16 MB
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002 Start the Hadoop and Spark Cluster using Dataproc.mp4 - 5.9 MB
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001 Introduction to Mastering Hadoop HDFS Commands and Concepts.mp4 - 3.17 MB
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018 Recap of HDFS on Dataproc Cluster_en.srt - 16.77 KB
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007 Overview of Multinode Hadoop Cluster_en.srt - 16.33 KB
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006 Programmatically Copy files into HDFS using Python_en.srt - 15.75 KB
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010 Overview of local storage of files_en.srt - 14.07 KB
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005 Create Folder and Copy Files into HDFS using Commands_en.srt - 13.06 KB
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014 Overview of Blocks related to files in HDFS_en.srt - 12.95 KB
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017 Overview of HDFS Namenode for HDFS File Metadata_en.srt - 11.79 KB
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003 Create Hadoop and Spark Cluster and Setup VS Code Workspace_en.srt - 11.48 KB
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015 Overview of Replication related to files in HDFS_en.srt - 11.45 KB
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013 Determining Number of Blocks for each file_en.srt - 11.35 KB
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016 Physical Storage of HDFS File Blocks_en.srt - 9.91 KB
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008 Review Important Properties of HDFS_en.srt - 9.49 KB
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012 Overview of Distributed Storage of files in HDFS_en.srt - 9.44 KB
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011 Setup Data Sets to understand HDFS Concepts_en.srt - 8.75 KB
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009 Review HDFS Properties on Dataproc Cluster using VS Code_en.srt - 6.29 KB
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004 Overview of important HDFS Commands_en.srt - 4.2 KB
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002 Start the Hadoop and Spark Cluster using Dataproc_en.srt - 3.81 KB
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001 Introduction to Mastering Hadoop HDFS Commands and Concepts_en.srt - 3.52 KB
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48 - Getting Started with Spark SQL on Hadoop and Spark Cluster
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006 Populate Data into Delta Lake Tables using Spark SQL.mp4 - 84.77 MB
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008 Run Spark SQL Scripts using Spark SQL CLI.mp4 - 75.61 MB
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007 Run Individual Spark SQL Commands.mp4 - 69.63 MB
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005 Launch Spark SQL CLI with Delta Lake Packages.mp4 - 34.44 MB
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003 Spark SQL Metastore Architecture.mp4 - 30.6 MB
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002 Getting Started with Data Sets and Spark SQL CLI.mp4 - 26.47 MB
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004 Overview of Spark Metastore Warehouse Directory.mp4 - 25.38 MB
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001 Getting Started with Spark SQL on Hadoop and Spark Cluster.mp4 - 2.84 MB
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006 Populate Data into Delta Lake Tables using Spark SQL_en.srt - 23.47 KB
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003 Spark SQL Metastore Architecture_en.srt - 17.25 KB
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007 Run Individual Spark SQL Commands_en.srt - 15.4 KB
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008 Run Spark SQL Scripts using Spark SQL CLI_en.srt - 12.59 KB
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005 Launch Spark SQL CLI with Delta Lake Packages_en.srt - 8.06 KB
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002 Getting Started with Data Sets and Spark SQL CLI_en.srt - 7.95 KB
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004 Overview of Spark Metastore Warehouse Directory_en.srt - 7.89 KB
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001 Getting Started with Spark SQL on Hadoop and Spark Cluster_en.srt - 2.7 KB
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49 - Build Real Time Applications using Spark SQL with Shell Wrapper
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007 Populate Data for Additional Years into Delta NYSE Table.mp4 - 83.1 MB
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006 Create Target Table for NYSE Data using Delta Format.mp4 - 54.52 MB
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010 Develop Shell Wrapper for Spark SQL Application.mp4 - 41.92 MB
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009 Validate Spark SQL Application for NYSE Data Conversion.mp4 - 37.98 MB
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008 Develop Spark SQL Application for NYSE Data Conversion.mp4 - 36.07 MB
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002 Review the Requirements and Datasets for NYSE Data.mp4 - 32.59 MB
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005 Create External Stage Table for NYSE CSV Files.mp4 - 32.52 MB
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004 Copy Files into HDFS for NYSE Converter.mp4 - 28.81 MB
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003 Design NYSE Converter Application using Spark SQL and Delta.mp4 - 9.53 MB
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temp
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index_48380214.mpd - 77.21 KB
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007 Populate Data for Additional Years into Delta NYSE Table_en.srt - 22.48 KB
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006 Create Target Table for NYSE Data using Delta Format_en.srt - 12.93 KB
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005 Create External Stage Table for NYSE CSV Files_en.srt - 12.39 KB
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010 Develop Shell Wrapper for Spark SQL Application_en.srt - 10.67 KB
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009 Validate Spark SQL Application for NYSE Data Conversion_en.srt - 10.19 KB
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002 Review the Requirements and Datasets for NYSE Data_en.srt - 8.44 KB
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008 Develop Spark SQL Application for NYSE Data Conversion_en.srt - 7.48 KB
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004 Copy Files into HDFS for NYSE Converter_en.srt - 7.08 KB
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003 Design NYSE Converter Application using Spark SQL and Delta_en.srt - 6.35 KB
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001 Introduction to Application Development Life Cycle of Spark SQL Applications_en.srt - 2.08 KB
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10 - Solutions for Basic SQL Queries
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005 Solution for Exercise 2 to get Dormant Customers using Outer Join.mp4 - 75.49 MB
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006 Solution for Exercise 3 to get Revenue Per Customer using Outer Join.mp4 - 62.32 MB
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007 Solution for Exercise 4 to get Revenue Per Category.mp4 - 55.42 MB
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004 Solution for Exercise 1 to get Customer Order Count.mp4 - 53.72 MB
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001 Solutions for Filtering and Aggregations.mp4 - 40.17 MB
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008 Solution for Exercise 5 to get Product Count Per Department.mp4 - 33.95 MB
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002 Solutions for Filtering and Aggregations.mp4 - 33.17 MB
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003 Validate Data and Review Data Model Diagram.mp4 - 12.34 MB
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005 Solution for Exercise 2 to get Dormant Customers using Outer Join_en.srt - 17.93 KB
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006 Solution for Exercise 3 to get Revenue Per Customer using Outer Join_en.srt - 12.7 KB
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004 Solution for Exercise 1 to get Customer Order Count_en.srt - 12.32 KB
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008 Solution for Exercise 5 to get Product Count Per Department_en.srt - 12.2 KB
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007 Solution for Exercise 4 to get Revenue Per Category_en.srt - 11.75 KB
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002 Solutions for Filtering and Aggregations_en.srt - 8.88 KB
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001 Solutions for Filtering and Aggregations_en.srt - 8.05 KB
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003 Validate Data and Review Data Model Diagram_en.srt - 5.79 KB
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16 - Troubleshooting and Debugging Python Issues
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014 Debug VS Code Notebooks using Debug Feature.mp4 - 73.76 MB
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006 Troubleshoot Module Related issues for Database Connectivity using Python.mp4 - 39.71 MB
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013 Overview of Debugging VS Code Notebooks using Debug Feature.mp4 - 32.67 MB
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012 Overview of Unit Testing or Validation of Applications.mp4 - 28.99 MB
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017 Debug Python Application using VS Code with breakpoints.mp4 - 27.98 MB
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016 Recap of running File Format Converter application.mp4 - 26.61 MB
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003 Overview of Database Connectivity using Python Applications.mp4 - 20.91 MB
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007 Troubleshoot Credentials Related issues for Database Connectivity using Python.mp4 - 20.86 MB
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009 Troubleshooting Compilation Errors in Python.mp4 - 13.33 MB
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005 Troubleshoot Network Connectivity to the Database Server using telnet.mp4 - 12.94 MB
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018 Managing Breakpoints for Debugging in VS Code.mp4 - 12.42 MB
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010 Troubleshooting Run Time Errors in Python.mp4 - 11.51 MB
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004 Overview of Database Connectivity using Python.mp4 - 11.35 MB
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011 Overview of Software Development Life Cycle.mp4 - 11.06 MB
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015 Getting Started with Debugging of Python Programs using VS Code.mp4 - 9.26 MB
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008 Overview of Python process to run Python Applications.mp4 - 9.12 MB
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001 Introduction to Troubleshooting and Debugging Python issues.mp4 - 7.5 MB
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019 Conclusion to Troubleshooting and Debugging Python Issues.mp4 - 6.44 MB
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002 Guidelines for Troubleshooting and Debugging Python related Issues.mp4 - 5.34 MB
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014 Debug VS Code Notebooks using Debug Feature_en.srt - 17.24 KB
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013 Overview of Debugging VS Code Notebooks using Debug Feature_en.srt - 16.43 KB
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003 Overview of Database Connectivity using Python Applications_en.srt - 11.7 KB
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017 Debug Python Application using VS Code with breakpoints_en.srt - 11.65 KB
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016 Recap of running File Format Converter application_en.srt - 10.93 KB
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006 Troubleshoot Module Related issues for Database Connectivity using Python_en.srt - 8.76 KB
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009 Troubleshooting Compilation Errors in Python_en.srt - 8.46 KB
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004 Overview of Database Connectivity using Python_en.srt - 7.17 KB
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010 Troubleshooting Run Time Errors in Python_en.srt - 6.47 KB
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005 Troubleshoot Network Connectivity to the Database Server using telnet_en.srt - 6.25 KB
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011 Overview of Software Development Life Cycle_en.srt - 5.91 KB
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012 Overview of Unit Testing or Validation of Applications_en.srt - 5.61 KB
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007 Troubleshoot Credentials Related issues for Database Connectivity using Python_en.srt - 5.49 KB
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018 Managing Breakpoints for Debugging in VS Code_en.srt - 5.16 KB
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001 Introduction to Troubleshooting and Debugging Python issues_en.srt - 4.77 KB
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008 Overview of Python process to run Python Applications_en.srt - 4.42 KB
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015 Getting Started with Debugging of Python Programs using VS Code_en.srt - 4.24 KB
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019 Conclusion to Troubleshooting and Debugging Python Issues_en.srt - 3.68 KB
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002 Guidelines for Troubleshooting and Debugging Python related Issues_en.srt - 3.29 KB
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53 - Performance Tuning of Spark Applications on Hadoop and Spark
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028 Demo on Spark Dynamic Allocation.mp4 - 72.67 MB
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025 Run Spark Application with out Adaptive Query Execution.mp4 - 70.14 MB
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017 Overriding Spark Executor Instances to tune the performance.mp4 - 61.69 MB
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027 Overview of Spark Dynamic Allocation.mp4 - 60.85 MB
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015 Overview of Jobs related to Spark Applications using Spark UI.mp4 - 56.44 MB
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030 Overview of number of Spark Partitions.mp4 - 53.63 MB
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016 Review Environment Properties and Disabling Dynamic Allocation.mp4 - 50.54 MB
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023 Overview of Lazy Evaluation.mp4 - 48.7 MB
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012 Generate Test Data for Spark Performance Tuning.mp4 - 46.64 MB
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010 Determine Overall YARN Capacity.mp4 - 44.39 MB
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029 Running Spark Application using Dynamic Allocation.mp4 - 42.99 MB
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026 Run Spark Application using Adaptive Query Execution.mp4 - 41.68 MB
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019 Overview of Adaptive Query Execution.mp4 - 37.92 MB
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021 Overview of Shuffling - Part 2.mp4 - 37.87 MB
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006 Setup SSH Connectivity and VS Code Workspace using Master Node.mp4 - 37.63 MB
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008 Overview of Multinode Hadoop and Spark Cluster Topology.mp4 - 36.89 MB
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014 Develop and Validate Shell Script for Word Count.mp4 - 36.65 MB
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011 Overview of Spark History Server UI.mp4 - 35.31 MB
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013 Develop Word Count Application using Spark.mp4 - 27.97 MB
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020 Overview of Shuffling - Part 1.mp4 - 23.19 MB
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018 Determine Maximum Capacity to submit a Spark Application.mp4 - 22.25 MB
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005 Setup Multinode Hadoop and Spark Cluster using GCP Dataproc.mp4 - 18.69 MB
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024 Review the code of Word Count Application.mp4 - 16.88 MB
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007 Review Multi Node Hadoop and Spark Clusters using Web Interfaces.mp4 - 16.27 MB
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004 Review Quotas to setup Multinode Hadoop and Spark Cluster.mp4 - 12.74 MB
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022 Overview of Spark Application.mp4 - 12.54 MB
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003 Increase GCP VM Quotas for Mutlinode Hadoop and Spark Cluster.mp4 - 10.12 MB
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031 Delete Multinode Hadoop and Spark Cluster.mp4 - 9.38 MB
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002 Delete Single Node Hadoop and Spark Cluster using Dataproc.mp4 - 5.05 MB
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temp
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index_48380352.mpd - 76.66 KB
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index_48380372.mpd - 31.99 KB
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009 Computing Overall Capacity of Multinode Hadoop and Spark Clusters.encrypted.m4a.part.frag.urls - 64.03 KB
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009 Computing Overall Capacity of Multinode Hadoop and Spark Clusters.encrypted.mp4.part.frag.urls - 64.03 KB
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013 Develop Word Count Application using Spark_en.srt - 19.19 KB
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028 Demo on Spark Dynamic Allocation_en.srt - 17.1 KB
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021 Overview of Shuffling - Part 2_en.srt - 16.88 KB
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025 Run Spark Application with out Adaptive Query Execution_en.srt - 16.26 KB
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008 Overview of Multinode Hadoop and Spark Cluster Topology_en.srt - 15.49 KB
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027 Overview of Spark Dynamic Allocation_en.srt - 14.28 KB
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023 Overview of Lazy Evaluation_en.srt - 14.18 KB
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030 Overview of number of Spark Partitions_en.srt - 13.12 KB
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016 Review Environment Properties and Disabling Dynamic Allocation_en.srt - 12.57 KB
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015 Overview of Jobs related to Spark Applications using Spark UI_en.srt - 12.56 KB
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020 Overview of Shuffling - Part 1_en.srt - 12.52 KB
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017 Overriding Spark Executor Instances to tune the performance_en.srt - 11.36 KB
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019 Overview of Adaptive Query Execution_en.srt - 11.13 KB
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006 Setup SSH Connectivity and VS Code Workspace using Master Node_en.srt - 11.03 KB
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029 Running Spark Application using Dynamic Allocation_en.srt - 10.76 KB
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026 Run Spark Application using Adaptive Query Execution_en.srt - 10.08 KB
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007 Review Multi Node Hadoop and Spark Clusters using Web Interfaces_en.srt - 8.3 KB
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011 Overview of Spark History Server UI_en.srt - 8.25 KB
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014 Develop and Validate Shell Script for Word Count_en.srt - 7.98 KB
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010 Determine Overall YARN Capacity_en.srt - 7.66 KB
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009 Computing Overall Capacity of Multinode Hadoop and Spark Clusters_en.srt - 7.46 KB
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012 Generate Test Data for Spark Performance Tuning_en.srt - 6.51 KB
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022 Overview of Spark Application_en.srt - 6.38 KB
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003 Increase GCP VM Quotas for Mutlinode Hadoop and Spark Cluster_en.srt - 5.97 KB
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005 Setup Multinode Hadoop and Spark Cluster using GCP Dataproc_en.srt - 5.97 KB
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024 Review the code of Word Count Application_en.srt - 5.45 KB
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018 Determine Maximum Capacity to submit a Spark Application_en.srt - 5.29 KB
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031 Delete Multinode Hadoop and Spark Cluster_en.srt - 5.21 KB
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002 Delete Single Node Hadoop and Spark Cluster using Dataproc_en.srt - 3.59 KB
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004 Review Quotas to setup Multinode Hadoop and Spark Cluster_en.srt - 3.46 KB
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001 Introduction to Performance Tuning of Spark Applications on Hadoop and Spark Clu_en.srt - 3.43 KB
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009 Computing Overall Capacity of Multinode Hadoop and Spark Clusters.encrypted.m4a.part - 0 B
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009 Computing Overall Capacity of Multinode Hadoop and Spark Clusters.encrypted.mp4.part - 0 B
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24 - Pre-Defined Functions in Spark SQL
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018 Overview of Numeric Functions in Spark SQL.mp4 - 72.51 MB
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031 Solutions for Exercises 7 and 8 on Pre-defined Functions in Spark SQL.mp4 - 56.84 MB
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030 Solutions for Exercises 5 and 6 on Pre-defined Functions in Spark SQL.mp4 - 56.77 MB
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014 Extract Information from Date or Time using Spark SQL.mp4 - 49.68 MB
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007 Trimming Characters or Strings using Spark SQL.mp4 - 45.89 MB
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028 Solutions for Exercises 1 and 2 on Pre-defined Functions in Spark SQL.mp4 - 45.27 MB
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026 Word Count Query using Pre-defined Functions in Spark SQL.mp4 - 38.1 MB
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008 Padding Characters to Strings using Spark SQL.mp4 - 35.14 MB
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009 Reverse and Concatenate Strings using Spark SQL.mp4 - 34.52 MB
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021 Replace Null Values with default values using nvl and coalesce in Spark SQL.mp4 - 33.86 MB
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019 Data Type Conversion using Spark SQL.mp4 - 33.69 MB
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024 Using CASE and WHEN for conditional logic in Spark SQL.mp4 - 33.45 MB
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017 Dealing with Unix Timestamp using Spark SQL.mp4 - 33.29 MB
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029 Solutions for Exercises 3 and 4 on Pre-defined Functions in Spark SQL.mp4 - 31.2 MB
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013 Overview of trunc and date_trunc in Spark SQL.mp4 - 30.91 MB
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005 Extract Substring using substr in Spark SQL.mp4 - 29.64 MB
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015 Convert Non Standard Dates or Timestamps to Standard Ones using Spark SQL.mp4 - 24.26 MB
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004 Case Conversion and Length of Strings using Spark SQL.mp4 - 23.53 MB
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022 Conditional Logic on Null Values using nvl2 and case in Spark SQL.mp4 - 21.55 MB
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020 Overview of Handling Null Values using Spark SQL.mp4 - 19 MB
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002 Validate Functions in Spark SQL.mp4 - 18.85 MB
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006 Extract Substrings from Delimited Strings using split in Spark SQL.mp4 - 16.86 MB
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012 Date Arithmetic using Spark SQL Functions.mp4 - 16.57 MB
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016 Extract Information using Calendar Functions from Date or Timestamp using Spark.mp4 - 10.72 MB
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025 Aggregate using CASE and WHEN in GROUP BY in Spark SQL.mp4 - 9.94 MB
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023 Overview of Case and When in Spark SQL.mp4 - 9.77 MB
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011 Overview of Standard Date and Timestamp in Spark SQL.mp4 - 9.17 MB
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027 Exercises for Pre-defined functions in Spark SQL.mp4 - 8.83 MB
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001 Overview of Functions in Spark SQL.mp4 - 8.25 MB
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003 Overview of String Manipulation Functions in Spark SQL.mp4 - 4.89 MB
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010 Overview of Date Manipulation Functions in Spark SQL.mp4 - 4.2 MB
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018 Overview of Numeric Functions in Spark SQL_en.srt - 18.12 KB
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031 Solutions for Exercises 7 and 8 on Pre-defined Functions in Spark SQL_en.srt - 15.38 KB
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030 Solutions for Exercises 5 and 6 on Pre-defined Functions in Spark SQL_en.srt - 14.76 KB
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007 Trimming Characters or Strings using Spark SQL_en.srt - 14.58 KB
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017 Dealing with Unix Timestamp using Spark SQL_en.srt - 12.96 KB
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028 Solutions for Exercises 1 and 2 on Pre-defined Functions in Spark SQL_en.srt - 12.44 KB
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014 Extract Information from Date or Time using Spark SQL_en.srt - 12.24 KB
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008 Padding Characters to Strings using Spark SQL_en.srt - 11.67 KB
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015 Convert Non Standard Dates or Timestamps to Standard Ones using Spark SQL_en.srt - 11.41 KB
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009 Reverse and Concatenate Strings using Spark SQL_en.srt - 10.59 KB
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026 Word Count Query using Pre-defined Functions in Spark SQL_en.srt - 9.82 KB
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021 Replace Null Values with default values using nvl and coalesce in Spark SQL_en.srt - 9.77 KB
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019 Data Type Conversion using Spark SQL_en.srt - 9.57 KB
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022 Conditional Logic on Null Values using nvl2 and case in Spark SQL_en.srt - 9.16 KB
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024 Using CASE and WHEN for conditional logic in Spark SQL_en.srt - 8.4 KB
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029 Solutions for Exercises 3 and 4 on Pre-defined Functions in Spark SQL_en.srt - 8.38 KB
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013 Overview of trunc and date_trunc in Spark SQL_en.srt - 7.75 KB
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005 Extract Substring using substr in Spark SQL_en.srt - 7.48 KB
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012 Date Arithmetic using Spark SQL Functions_en.srt - 6.9 KB
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006 Extract Substrings from Delimited Strings using split in Spark SQL_en.srt - 6.86 KB
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002 Validate Functions in Spark SQL_en.srt - 6.29 KB
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004 Case Conversion and Length of Strings using Spark SQL_en.srt - 6.25 KB
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020 Overview of Handling Null Values using Spark SQL_en.srt - 5.77 KB
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025 Aggregate using CASE and WHEN in GROUP BY in Spark SQL_en.srt - 5.67 KB
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023 Overview of Case and When in Spark SQL_en.srt - 5.09 KB
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011 Overview of Standard Date and Timestamp in Spark SQL_en.srt - 4.92 KB
-
001 Overview of Functions in Spark SQL_en.srt - 4.88 KB
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016 Extract Information using Calendar Functions from Date or Timestamp using Spark_en.srt - 4.44 KB
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027 Exercises for Pre-defined functions in Spark SQL_en.srt - 3.1 KB
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003 Overview of String Manipulation Functions in Spark SQL_en.srt - 3.01 KB
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010 Overview of Date Manipulation Functions in Spark SQL_en.srt - 2.69 KB
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0. Websites you may like
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[FreeCourseSite.com].url - 127 B
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[CourseClub.Me].url - 122 B
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[GigaCourse.Com].url - 49 B
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13 - Data Processing using Pandas Dataframe APIs
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012 Write Pandas Dataframes to JSON Files.mp4 - 65.28 MB
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004 Filter Data in Pandas Dataframe using query.mp4 - 46.42 MB
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005 Get Count by Status using Pandas Dataframe APIs.mp4 - 28.92 MB
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008 Performing Inner Join between Pandas Dataframes.mp4 - 28.69 MB
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001 Overview of Pandas for Data Processing.mp4 - 28.01 MB
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010 Sort Data in Pandas Dataframes.mp4 - 27.47 MB
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007 Create Dataframes using dynamic column list on CSV Data.mp4 - 20 MB
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002 Overview of Reading CSV Data using Pandas.mp4 - 18.04 MB
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006 Get count by Month and Status using Pandas Dataframe APIs.mp4 - 17.5 MB
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003 Read Data from CSV Files to Pandas Dataframes.mp4 - 17.06 MB
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009 Perform Aggregations on Join results.mp4 - 15.32 MB
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011 Overview of Writing Pandas Dataframes to Files.mp4 - 9.39 MB
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012 Write Pandas Dataframes to JSON Files_en.srt - 12.02 KB
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004 Filter Data in Pandas Dataframe using query_en.srt - 11.92 KB
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010 Sort Data in Pandas Dataframes_en.srt - 11.05 KB
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005 Get Count by Status using Pandas Dataframe APIs_en.srt - 9.08 KB
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007 Create Dataframes using dynamic column list on CSV Data_en.srt - 8.23 KB
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009 Perform Aggregations on Join results_en.srt - 8.14 KB
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001 Overview of Pandas for Data Processing_en.srt - 7.71 KB
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002 Overview of Reading CSV Data using Pandas_en.srt - 7.56 KB
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006 Get count by Month and Status using Pandas Dataframe APIs_en.srt - 7.56 KB
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003 Read Data from CSV Files to Pandas Dataframes_en.srt - 7.56 KB
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008 Performing Inner Join between Pandas Dataframes_en.srt - 7.27 KB
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011 Overview of Writing Pandas Dataframes to Files_en.srt - 5.4 KB
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15 - Project 2 - Files to Database Loader
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007 Overview of Deploying File to DB Loader Project.mp4 - 59.65 MB
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006 Write CSV Data from Files to Database Tables in Chunks.mp4 - 45.73 MB
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004 Validate Pandas and SQL Integration.mp4 - 39.22 MB
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005 Write CSV Data from File to Database Table.mp4 - 37.16 MB
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003 Run Queries from Notebook using SQL Magic.mp4 - 24.89 MB
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002 Install Python Dependencies for Pandas and Database Integration.mp4 - 16.23 MB
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007 Overview of Deploying File to DB Loader Project_en.srt - 15.73 KB
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003 Run Queries from Notebook using SQL Magic_en.srt - 13.29 KB
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006 Write CSV Data from Files to Database Tables in Chunks_en.srt - 12.12 KB
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005 Write CSV Data from File to Database Table_en.srt - 9.79 KB
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004 Validate Pandas and SQL Integration_en.srt - 8.97 KB
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002 Install Python Dependencies for Pandas and Database Integration_en.srt - 3.68 KB
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001 Project 2 - Files To Database Loader Handout.html - 2.28 KB
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17 - Performance Tuning of Python Applications
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009 Review Pandas Data Frame API to load data into the target table.mp4 - 54.89 MB
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003 Ensure Postgres Database is setup for file to db loader Python Application.mp4 - 50.31 MB
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014 Refactor File to Database Loader Application for Multiprocessing.mp4 - 39.65 MB
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016 Validate File to DB Loader Application with Multiprocessing.mp4 - 37.97 MB
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008 Performance Tuning using Chunksize in Pandas.mp4 - 35.12 MB
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015 Add Parallel Processing to file to db loader Python Application.mp4 - 34.38 MB
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007 Overview of Execution of file to db loader application.mp4 - 32.27 MB
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017 Understanding the concept of Multiprocessing in Python.mp4 - 27.39 MB
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005 Run and Validate File to DB Loader Application.mp4 - 26.7 MB
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013 Invoking User Defined Functions using multiprocessing in Python.mp4 - 25.89 MB
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002 Setup Database Loader Python Application.mp4 - 22.52 MB
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001 Introduction to Performance of Python Applications.mp4 - 20.13 MB
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006 Fix the error message in file to db loader application.mp4 - 18.83 MB
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018 Performance Tuning Scenarios of Python Applications.mp4 - 15.11 MB
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012 Getting Started with Multiprocessing using Python.mp4 - 13.95 MB
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010 Overview of multi or batch insert into Database Tables.mp4 - 13.4 MB
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004 Cleanup the tables to run file to db loader application.mp4 - 11.27 MB
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011 Develop application for multiprocessing.mp4 - 7.85 MB
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003 Ensure Postgres Database is setup for file to db loader Python Application_en.srt - 15.45 KB
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009 Review Pandas Data Frame API to load data into the target table_en.srt - 14.39 KB
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017 Understanding the concept of Multiprocessing in Python_en.srt - 12.25 KB
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007 Overview of Execution of file to db loader application_en.srt - 12.15 KB
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016 Validate File to DB Loader Application with Multiprocessing_en.srt - 11.4 KB
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008 Performance Tuning using Chunksize in Pandas_en.srt - 11.19 KB
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001 Introduction to Performance of Python Applications_en.srt - 10.78 KB
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002 Setup Database Loader Python Application_en.srt - 9.66 KB
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013 Invoking User Defined Functions using multiprocessing in Python_en.srt - 9.62 KB
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005 Run and Validate File to DB Loader Application_en.srt - 9.56 KB
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012 Getting Started with Multiprocessing using Python_en.srt - 8.75 KB
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010 Overview of multi or batch insert into Database Tables_en.srt - 8.07 KB
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018 Performance Tuning Scenarios of Python Applications_en.srt - 7.81 KB
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014 Refactor File to Database Loader Application for Multiprocessing_en.srt - 7.62 KB
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015 Add Parallel Processing to file to db loader Python Application_en.srt - 7.5 KB
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011 Develop application for multiprocessing_en.srt - 4.95 KB
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004 Cleanup the tables to run file to db loader application_en.srt - 4.57 KB
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006 Fix the error message in file to db loader application_en.srt - 3.96 KB
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52 - Logging in Python based Spark Applications
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008 Validate Logging of Spark Application using Cluster Mode.mp4 - 54.22 MB
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002 Run Application without logging.mp4 - 49.98 MB
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005 Changing the Log Message Format using logging.mp4 - 36.34 MB
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004 Getting Started with logging using Python.mp4 - 29.45 MB
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007 Validate Logging of Spark Application using Client Mode.mp4 - 24.19 MB
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003 Overview of Logging Concepts such as Log Levels.mp4 - 20.12 MB
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006 Add logging to Python based Spark Applications.mp4 - 15.09 MB
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001 Introduction to Logging in Python baesd Spark Applications.mp4 - 2.92 MB
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004 Getting Started with logging using Python_en.srt - 9.73 KB
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005 Changing the Log Message Format using logging_en.srt - 9.32 KB
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002 Run Application without logging_en.srt - 8.86 KB
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008 Validate Logging of Spark Application using Cluster Mode_en.srt - 7.51 KB
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003 Overview of Logging Concepts such as Log Levels_en.srt - 7.02 KB
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007 Validate Logging of Spark Application using Client Mode_en.srt - 5.5 KB
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006 Add logging to Python based Spark Applications_en.srt - 4.41 KB
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001 Introduction to Logging in Python baesd Spark Applications_en.srt - 1.51 KB
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30 - Copy Query Results into Spark Metastore Tables
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005 Design Pipeline using CTAS and INSERT in Spark SQL.mp4 - 50.51 MB
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006 Copy Query Results into Spark Meatstore Tables using MERGE.mp4 - 25.44 MB
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003 Copy Query Results into Spark Metastore Tables using CTAS.mp4 - 16.62 MB
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004 Copy Query Results into Spark Metastore Tables using INSERT.mp4 - 13.5 MB
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002 Query to Compute Daily Revenue using Spark SQL.mp4 - 6.63 MB
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001 Overview of Copying Query Results into Spark Metastore Tables.mp4 - 5.84 MB
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005 Design Pipeline using CTAS and INSERT in Spark SQL_en.srt - 15.32 KB
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006 Copy Query Results into Spark Meatstore Tables using MERGE_en.srt - 11.88 KB
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003 Copy Query Results into Spark Metastore Tables using CTAS_en.srt - 8.02 KB
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004 Copy Query Results into Spark Metastore Tables using INSERT_en.srt - 6.41 KB
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001 Overview of Copying Query Results into Spark Metastore Tables_en.srt - 4.05 KB
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002 Query to Compute Daily Revenue using Spark SQL_en.srt - 3.59 KB
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14 - Project 1 - File Format Converter using Python
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021 Pass Data Sets as Run Time Arguments to File Format Converter.mp4 - 49.51 MB
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009 Modularize File Format Converter for Dataset.mp4 - 41.43 MB
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019 Use Environment Variables in File Format Converter.mp4 - 36.85 MB
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024 Exception Handling in File Format Converter Application.mp4 - 34.37 MB
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020 Pass JSON Array as argument to Python Applications.mp4 - 32.42 MB
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018 Use Environment Variables in Python Applications.mp4 - 31.09 MB
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008 Write Pandas Dataframe to JSON Files.mp4 - 30.06 MB
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010 Wrapper to Process all Data Sets.mp4 - 29.86 MB
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013 Add Core Logic to Python Application.mp4 - 29.73 MB
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023 Raising Exceptions in Python Applications.mp4 - 24.78 MB
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002 Get File Names to be processed using glob.mp4 - 24.55 MB
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017 Setting Environment Variables on Windows or Mac or Linux.mp4 - 21.05 MB
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005 Read CSV Data into Pandas Dataframe with Schema Dynamically.mp4 - 18.14 MB
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015 Using Run Time Arguments in Python Applications.mp4 - 18.01 MB
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004 Get Data Set Names from File Names or Paths using regular expressions.mp4 - 14.61 MB
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012 Install Dependencies for the Python Project using pip.mp4 - 11.54 MB
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006 Generate File Paths for Target JSON Files Dynamically.mp4 - 11.27 MB
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003 Get Column Names using Schemas File.mp4 - 11.12 MB
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011 Setup Project for File Format Converter using Python.mp4 - 10.94 MB
-
016 Overview of Environment Variables.mp4 - 9.97 MB
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007 Recap of Writing Pandas Dataframe to JSON File.mp4 - 9.7 MB
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022 Exception Handling in Python Applications.mp4 - 8.83 MB
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014 Overview of Run-time Arguments and Environment Variables.mp4 - 5.53 MB
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019 Use Environment Variables in File Format Converter_en.srt - 15.31 KB
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021 Pass Data Sets as Run Time Arguments to File Format Converter_en.srt - 15.25 KB
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010 Wrapper to Process all Data Sets_en.srt - 10.89 KB
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002 Get File Names to be processed using glob_en.srt - 10.12 KB
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004 Get Data Set Names from File Names or Paths using regular expressions_en.srt - 9.33 KB
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020 Pass JSON Array as argument to Python Applications_en.srt - 9.2 KB
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009 Modularize File Format Converter for Dataset_en.srt - 8.98 KB
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015 Using Run Time Arguments in Python Applications_en.srt - 8.88 KB
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018 Use Environment Variables in Python Applications_en.srt - 8.69 KB
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005 Read CSV Data into Pandas Dataframe with Schema Dynamically_en.srt - 8.19 KB
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017 Setting Environment Variables on Windows or Mac or Linux_en.srt - 7.94 KB
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024 Exception Handling in File Format Converter Application_en.srt - 7.47 KB
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003 Get Column Names using Schemas File_en.srt - 6.99 KB
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008 Write Pandas Dataframe to JSON Files_en.srt - 6.81 KB
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011 Setup Project for File Format Converter using Python_en.srt - 6.78 KB
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013 Add Core Logic to Python Application_en.srt - 6.71 KB
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016 Overview of Environment Variables_en.srt - 6.64 KB
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023 Raising Exceptions in Python Applications_en.srt - 6.58 KB
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006 Generate File Paths for Target JSON Files Dynamically_en.srt - 6.29 KB
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022 Exception Handling in Python Applications_en.srt - 5.58 KB
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012 Install Dependencies for the Python Project using pip_en.srt - 5.47 KB
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007 Recap of Writing Pandas Dataframe to JSON File_en.srt - 4.08 KB
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014 Overview of Run-time Arguments and Environment Variables_en.srt - 3.15 KB
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001 Project 1 - File Format Converter Handout.html - 2.33 KB
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12 - Python Collections for Data Engineering
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009 Sort Python lists using key.mp4 - 47.99 MB
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003 Overview of Python Collections.mp4 - 32.77 MB
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001 Overview of File IO using Python.mp4 - 27.01 MB
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016 Create Function to get Column Details from Schemas JSON File.mp4 - 23.43 MB
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008 Get unique values from list using map and set.mp4 - 21.4 MB
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007 Filter Data in Python Lists using filter and lambda.mp4 - 20.15 MB
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011 Read JSON Strings to Python dicts or lists.mp4 - 18.25 MB
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012 Read JSON Schemas from file to Python dicts.mp4 - 17.58 MB
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015 Sort Data in JSON Arrays using Python.mp4 - 15.4 MB
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005 Overview of Lambda Functions in Python.mp4 - 15.19 MB
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010 Overview of JSON Strings and Files.mp4 - 13.44 MB
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014 Extract Details from Complex JSON Arrays using Python.mp4 - 12.57 MB
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004 Getting Started with Processing Python Lists.mp4 - 11.96 MB
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006 Usage of Lambda Functions.mp4 - 10.95 MB
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002 Read Data from CSV File into Python List.mp4 - 10.07 MB
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013 Overview of Processing JSON Data using Python.mp4 - 8.02 MB
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003 Overview of Python Collections_en.srt - 13.86 KB
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001 Overview of File IO using Python_en.srt - 12.82 KB
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009 Sort Python lists using key_en.srt - 12.55 KB
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005 Overview of Lambda Functions in Python_en.srt - 11.61 KB
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011 Read JSON Strings to Python dicts or lists_en.srt - 10.79 KB
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012 Read JSON Schemas from file to Python dicts_en.srt - 10.35 KB
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007 Filter Data in Python Lists using filter and lambda_en.srt - 9.63 KB
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008 Get unique values from list using map and set_en.srt - 9.62 KB
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016 Create Function to get Column Details from Schemas JSON File_en.srt - 9.04 KB
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015 Sort Data in JSON Arrays using Python_en.srt - 7.41 KB
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010 Overview of JSON Strings and Files_en.srt - 6.46 KB
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014 Extract Details from Complex JSON Arrays using Python_en.srt - 6.16 KB
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002 Read Data from CSV File into Python List_en.srt - 6.07 KB
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006 Usage of Lambda Functions_en.srt - 6.06 KB
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013 Overview of Processing JSON Data using Python_en.srt - 5.32 KB
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004 Getting Started with Processing Python Lists_en.srt - 5.13 KB
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07 - SQL Troubleshooting and Debugging Guide
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014 Identify and Troubleshoot Bugs in SQL Queries.mp4 - 46.98 MB
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007 Troubleshoot Database Credentials and Permissions Issues.mp4 - 35.89 MB
-
003 Validate and Setup Telnet on Mac or PC.mp4 - 22.89 MB
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009 Troubleshooting Syntax Errors in SQL Queries.mp4 - 21.47 MB
-
002 Overview of Database Connectivity Issues.mp4 - 18.9 MB
-
010 Troubleshooting Semantec Errors in SQL Queries.mp4 - 17.1 MB
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005 Troubleshoot Database Connectivity Issue with Correct Host Details.mp4 - 13.82 MB
-
008 Overview of Compilation of SQL Queries.mp4 - 13.73 MB
-
015 Develop Solution using Development Best Practices.mp4 - 13.17 MB
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013 Develop Initial Solution based on the requirement.mp4 - 12.26 MB
-
006 Current Databases and Users in Postgres Database Server.mp4 - 11.96 MB
-
012 Development Best Practices with tips to troubleshoot SQL bugs.mp4 - 10.84 MB
-
011 Overview of Bugs in SQL Queries.mp4 - 9.38 MB
-
004 Validate Connectivity to Database Server using telnet.mp4 - 8.29 MB
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001 Introduction to SQL Troubleshooting and Debugging Guide.mp4 - 4.23 MB
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014 Identify and Troubleshoot Bugs in SQL Queries_en.srt - 13.86 KB
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007 Troubleshoot Database Credentials and Permissions Issues_en.srt - 13.56 KB
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002 Overview of Database Connectivity Issues_en.srt - 11.61 KB
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005 Troubleshoot Database Connectivity Issue with Correct Host Details_en.srt - 11.54 KB
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010 Troubleshooting Semantec Errors in SQL Queries_en.srt - 9.27 KB
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008 Overview of Compilation of SQL Queries_en.srt - 9.19 KB
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015 Develop Solution using Development Best Practices_en.srt - 7.93 KB
-
006 Current Databases and Users in Postgres Database Server_en.srt - 7.81 KB
-
003 Validate and Setup Telnet on Mac or PC_en.srt - 7.64 KB
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004 Validate Connectivity to Database Server using telnet_en.srt - 7.31 KB
-
013 Develop Initial Solution based on the requirement_en.srt - 7.08 KB
-
009 Troubleshooting Syntax Errors in SQL Queries_en.srt - 6.9 KB
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012 Development Best Practices with tips to troubleshoot SQL bugs_en.srt - 6.64 KB
-
011 Overview of Bugs in SQL Queries_en.srt - 5.22 KB
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001 Introduction to SQL Troubleshooting and Debugging Guide_en.srt - 2.95 KB
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-
01 - Introduction to Data Engineering Essentials using SQL, Python, and PySpark
-
007 Detailed outline of Spark SQL Topics in the course.mp4 - 46.91 MB
-
004 Overview of Python topics covered in the course.mp4 - 37.46 MB
-
003 Overview of SQL topics covered in the course.mp4 - 36.13 MB
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008 Detailed outline of Pyspark Topics in the course.mp4 - 34.78 MB
-
010 Overview of Performance Tuning of Spark covered in the course.mp4 - 32.61 MB
-
002 Overview of our support to Data Engineering Essentials course.mp4 - 26.3 MB
-
006 Overview of Spark and Databricks Environment related topics.mp4 - 23.82 MB
-
005 Overview of Getting Started with GCP related to the course.mp4 - 17.75 MB
-
009 Detailed outline of ELT Data Pipelines on Databricks.mp4 - 15.15 MB
-
001 Introduction to Data Engineering Essentials Course.mp4 - 12.63 MB
-
007 Detailed outline of Spark SQL Topics in the course_en.srt - 10.41 KB
-
003 Overview of SQL topics covered in the course_en.srt - 9.9 KB
-
004 Overview of Python topics covered in the course_en.srt - 9.84 KB
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008 Detailed outline of Pyspark Topics in the course_en.srt - 7.97 KB
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010 Overview of Performance Tuning of Spark covered in the course_en.srt - 7.3 KB
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006 Overview of Spark and Databricks Environment related topics_en.srt - 7.28 KB
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002 Overview of our support to Data Engineering Essentials course_en.srt - 6.87 KB
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005 Overview of Getting Started with GCP related to the course_en.srt - 5.84 KB
-
001 Introduction to Data Engineering Essentials Course_en.srt - 3.84 KB
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009 Detailed outline of ELT Data Pipelines on Databricks_en.srt - 3.55 KB
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-
23 - Create Delta Tables using Spark SQL
-
013 Using Merge to Update and Insert into Delta Tables in Spark Metastore.mp4 - 44.38 MB
-
005 Copy Data into Spark Metastore Managed Table.mp4 - 32.37 MB
-
003 Create Database and Review the Details.mp4 - 30.84 MB
-
010 Overview of Spark Metastore.mp4 - 22.39 MB
-
011 Difference Between Managed and External Spark Metastore Tables.mp4 - 21.36 MB
-
004 Create and Review Managed Spark Metastore Table using Delta Format.mp4 - 21.29 MB
-
012 Perform CRUD Operations on Delta Tables in Spark Metastore.mp4 - 20.34 MB
-
007 Create and Review External Spark Metastore Table using Delta Format.mp4 - 19.43 MB
-
008 Insert Data into Spark Metastore External Table.mp4 - 19.39 MB
-
009 Validate Data in Spark Metastore External Table.mp4 - 19.07 MB
-
006 Validate Data in Spark Metastore Managed Table.mp4 - 12.75 MB
-
014 Conclusion of Creating Delta Tables using Spark SQL.mp4 - 5.94 MB
-
002 Overview of Supported Providers for Spark Metastore Tables.mp4 - 5.35 MB
-
001 Introduction to Creating Delta Tables using Spark SQL.mp4 - 4.14 MB
-
013 Using Merge to Update and Insert into Delta Tables in Spark Metastore_en.srt - 15.74 KB
-
011 Difference Between Managed and External Spark Metastore Tables_en.srt - 11.68 KB
-
003 Create Database and Review the Details_en.srt - 10.64 KB
-
012 Perform CRUD Operations on Delta Tables in Spark Metastore_en.srt - 10.14 KB
-
004 Create and Review Managed Spark Metastore Table using Delta Format_en.srt - 8.53 KB
-
005 Copy Data into Spark Metastore Managed Table_en.srt - 8.41 KB
-
010 Overview of Spark Metastore_en.srt - 8.22 KB
-
007 Create and Review External Spark Metastore Table using Delta Format_en.srt - 7.52 KB
-
008 Insert Data into Spark Metastore External Table_en.srt - 6.21 KB
-
006 Validate Data in Spark Metastore Managed Table_en.srt - 5.84 KB
-
009 Validate Data in Spark Metastore External Table_en.srt - 5.29 KB
-
014 Conclusion of Creating Delta Tables using Spark SQL_en.srt - 4.23 KB
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002 Overview of Supported Providers for Spark Metastore Tables_en.srt - 3.83 KB
-
001 Introduction to Creating Delta Tables using Spark SQL_en.srt - 2.78 KB
-
-
21 - Setup Databricks Environment using GCP
-
012 Overview of Databricks CLI Commands.mp4 - 44.08 MB
-
014 Setup Data Sets in DBFS using Databricks CLI Commands.mp4 - 35.27 MB
-
010 Configure Databricks CLI on Mac or Windows.mp4 - 29.69 MB
-
006 Overview of Databricks on GCP.mp4 - 24.06 MB
-
007 High level architecture of Databricks.mp4 - 21.32 MB
-
009 Overview of Databricks CLI and other clients.mp4 - 16.37 MB
-
011 Troubleshoot issues to configure Databricks CLI.mp4 - 16.24 MB
-
002 Signing up for Databricks on GCP.mp4 - 16.1 MB
-
013 Setup Data Repository for Data Sets.mp4 - 15.65 MB
-
008 Setup Databricks CLI on Mac or Windows.mp4 - 14.2 MB
-
003 Create Databricks Workspace on GCP.mp4 - 9.74 MB
-
004 Getting Started with Databricks Clusters on GCP.mp4 - 7.46 MB
-
005 Getting Started with Databricks Notebook.mp4 - 7.34 MB
-
001 Overview of Databicks on GCP.mp4 - 3.4 MB
-
006 Overview of Databricks on GCP_en.srt - 11.78 KB
-
012 Overview of Databricks CLI Commands_en.srt - 9.96 KB
-
008 Setup Databricks CLI on Mac or Windows_en.srt - 9.59 KB
-
010 Configure Databricks CLI on Mac or Windows_en.srt - 9.49 KB
-
007 High level architecture of Databricks_en.srt - 8.88 KB
-
011 Troubleshoot issues to configure Databricks CLI_en.srt - 8.81 KB
-
014 Setup Data Sets in DBFS using Databricks CLI Commands_en.srt - 8.36 KB
-
009 Overview of Databricks CLI and other clients_en.srt - 8.07 KB
-
003 Create Databricks Workspace on GCP_en.srt - 8.01 KB
-
002 Signing up for Databricks on GCP_en.srt - 7.17 KB
-
005 Getting Started with Databricks Notebook_en.srt - 6.12 KB
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004 Getting Started with Databricks Clusters on GCP_en.srt - 5.39 KB
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013 Setup Data Repository for Data Sets_en.srt - 3.52 KB
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001 Overview of Databicks on GCP_en.srt - 1.97 KB
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-
39 - ELT Data Pipelines using Databricks
-
011 Validate Applications for ELT Pipeline using Databricks.mp4 - 43.24 MB
-
006 Create and Run Orchestrated Pipeline using Databricks Job.mp4 - 34.64 MB
-
002 Pass Arguments to Databricks Python Notebooks.mp4 - 33.43 MB
-
009 Review File Format Converter Pyspark Code.mp4 - 30.09 MB
-
012 Build ELT Pipeline using Databricks Job in Workflows.mp4 - 28.93 MB
-
005 Run Databricks Jobs and Tasks with Parameters.mp4 - 27.36 MB
-
004 Create and Run First Databricks Job.mp4 - 16.91 MB
-
013 Run and Review Execution details of ELT Data Pipeline using Databricks Job.mp4 - 15.95 MB
-
014 Cleanup Databricks Environment on GCP.mp4 - 15.07 MB
-
003 Pass Arguments to Databricks SQL Notebooks.mp4 - 13.27 MB
-
001 Overview of Databricks Workflows.mp4 - 10.98 MB
-
007 Import ELT Data Pipeline Applications into Databricks Environment.mp4 - 9.87 MB
-
010 Review Databricks SQL Notebooks for Tables and Final Results.mp4 - 9.84 MB
-
008 Spark SQL Application to Cleanup Database and Datasets.mp4 - 8.84 MB
-
012 Build ELT Pipeline using Databricks Job in Workflows_en.srt - 15.46 KB
-
011 Validate Applications for ELT Pipeline using Databricks_en.srt - 13.13 KB
-
004 Create and Run First Databricks Job_en.srt - 12.43 KB
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002 Pass Arguments to Databricks Python Notebooks_en.srt - 11.55 KB
-
006 Create and Run Orchestrated Pipeline using Databricks Job_en.srt - 11.27 KB
-
005 Run Databricks Jobs and Tasks with Parameters_en.srt - 8.75 KB
-
009 Review File Format Converter Pyspark Code_en.srt - 8.57 KB
-
013 Run and Review Execution details of ELT Data Pipeline using Databricks Job_en.srt - 8.47 KB
-
010 Review Databricks SQL Notebooks for Tables and Final Results_en.srt - 6.64 KB
-
008 Spark SQL Application to Cleanup Database and Datasets_en.srt - 6.19 KB
-
014 Cleanup Databricks Environment on GCP_en.srt - 6.01 KB
-
001 Overview of Databricks Workflows_en.srt - 5.22 KB
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003 Pass Arguments to Databricks SQL Notebooks_en.srt - 4.98 KB
-
007 Import ELT Data Pipeline Applications into Databricks Environment_en.srt - 4.73 KB
-
-
22 - Basic Transformations using Spark SQL
-
009 Create Dataframe with Schema from JSON File using Pyspark.mp4 - 43.18 MB
-
008 Process Schema Details in JSON using Pyspark.mp4 - 39.21 MB
-
003 Create Temporary Views using Spark SQL.mp4 - 35.95 MB
-
002 Getting Started with Spark SQL Example using Databricks.mp4 - 31.75 MB
-
012 Convert CSV to Parquet with Schema using Pyspark.mp4 - 29.66 MB
-
006 Save Query Result to DBFS using Spark SQL.mp4 - 26.4 MB
-
005 Spark SQL Query to compute Daily Product Revenue.mp4 - 22.79 MB
-
010 Transform Data using Spark APIs.mp4 - 22.41 MB
-
001 Process Data in DBFS using Databricks Spark SQL.mp4 - 15.66 MB
-
011 Get Schema Details for all Data Sets using Pyspark.mp4 - 13.04 MB
-
004 Exercise to create temporary views using Spark SQL.mp4 - 5.96 MB
-
007 Overview of Pyspark Examples on Databricks.mp4 - 3.9 MB
-
008 Process Schema Details in JSON using Pyspark_en.srt - 12.11 KB
-
003 Create Temporary Views using Spark SQL_en.srt - 11.47 KB
-
009 Create Dataframe with Schema from JSON File using Pyspark_en.srt - 9.79 KB
-
005 Spark SQL Query to compute Daily Product Revenue_en.srt - 9.75 KB
-
002 Getting Started with Spark SQL Example using Databricks_en.srt - 8.14 KB
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001 Process Data in DBFS using Databricks Spark SQL_en.srt - 7.83 KB
-
012 Convert CSV to Parquet with Schema using Pyspark_en.srt - 7.82 KB
-
006 Save Query Result to DBFS using Spark SQL_en.srt - 7.23 KB
-
010 Transform Data using Spark APIs_en.srt - 6.94 KB
-
011 Get Schema Details for all Data Sets using Pyspark_en.srt - 6.47 KB
-
004 Exercise to create temporary views using Spark SQL_en.srt - 2.42 KB
-
007 Overview of Pyspark Examples on Databricks_en.srt - 1.62 KB
-
-
33 - Getting Started with Pyspark Data Frame APIs
-
003 Create Dataframe with Schema from JSON File using Pyspark.mp4 - 43.16 MB
-
002 Process Schema Details in JSON using Pyspark.mp4 - 39.24 MB
-
006 Convert CSV to Parquet with Schema using Pyspark.mp4 - 29.68 MB
-
004 Transform Data using Spark APIs.mp4 - 22.41 MB
-
005 Get Schema Details for all Data Sets using Pyspark.mp4 - 13.05 MB
-
001 Overview of Pyspark Examples on Databricks.mp4 - 3.9 MB
-
002 Process Schema Details in JSON using Pyspark_en.srt - 12.07 KB
-
003 Create Dataframe with Schema from JSON File using Pyspark_en.srt - 9.79 KB
-
006 Convert CSV to Parquet with Schema using Pyspark_en.srt - 7.82 KB
-
004 Transform Data using Spark APIs_en.srt - 6.94 KB
-
005 Get Schema Details for all Data Sets using Pyspark_en.srt - 6.47 KB
-
001 Overview of Pyspark Examples on Databricks_en.srt - 1.62 KB
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-
28 - Joins using Spark SQL Queries
-
004 Outer Joins using Spark SQL Queries.mp4 - 42.85 MB
-
002 Inner Join using Spark SQL Queries.mp4 - 29.41 MB
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003 Concepts Behind Inner Joins in Spark SQL.mp4 - 27.5 MB
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007 Example - Filtering and Outer Joins along with GROUP BY in Spark SQL Queries.mp4 - 20.65 MB
-
008 Example - Filtering and Outer Joins along with GROUP BY in Spark SQL Queries.mp4 - 15.44 MB
-
006 Example - Outer Join along with GROUP BY using Spark SQL Queries.mp4 - 13.53 MB
-
005 Example - Inner Join along with GROUP BY using Spark SQL Queries.mp4 - 12.87 MB
-
001 Overview of Joins in Spark SQL Queries.mp4 - 9.55 MB
-
004 Outer Joins using Spark SQL Queries_en.srt - 14.87 KB
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002 Inner Join using Spark SQL Queries_en.srt - 10.49 KB
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003 Concepts Behind Inner Joins in Spark SQL_en.srt - 8.25 KB
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001 Overview of Joins in Spark SQL Queries_en.srt - 7.26 KB
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008 Example - Filtering and Outer Joins along with GROUP BY in Spark SQL Queries_en.srt - 6.35 KB
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006 Example - Outer Join along with GROUP BY using Spark SQL Queries_en.srt - 5.7 KB
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007 Example - Filtering and Outer Joins along with GROUP BY in Spark SQL Queries_en.srt - 5.35 KB
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005 Example - Inner Join along with GROUP BY using Spark SQL Queries_en.srt - 5.21 KB
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-
20 - Overview of Spark and Spark Architecture
-
004 Code Examples of Pandas, Dask and Pyspark.mp4 - 41.11 MB
-
013 Understand Spark Key Terms.mp4 - 38.74 MB
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003 Setup Environment to explore Pandas, Dask and Pyspark.mp4 - 36.85 MB
-
008 Overview of Spark Key Features and Platforms.mp4 - 33.88 MB
-
010 Overview of Spark Cluster using Databricks.mp4 - 29.75 MB
-
007 Overview of Official Documentation of Apache Spark.mp4 - 25.45 MB
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005 Differences between Pandas, Dask and Pyspark.mp4 - 21.08 MB
-
006 Overview of Distributed Computing.mp4 - 19.93 MB
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011 Overview of Executors in Spark Cluster.mp4 - 16.27 MB
-
001 Overview of Data Processing.mp4 - 12.47 MB
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012 Overview of Spark Glossary.mp4 - 10.46 MB
-
009 Overview of Spark Infrastructure.mp4 - 9.76 MB
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002 Overview of Data Processing Libraries.mp4 - 4.22 MB
-
013 Understand Spark Key Terms_en.srt - 11.78 KB
-
004 Code Examples of Pandas, Dask and Pyspark_en.srt - 11.2 KB
-
005 Differences between Pandas, Dask and Pyspark_en.srt - 10.75 KB
-
010 Overview of Spark Cluster using Databricks_en.srt - 9.73 KB
-
001 Overview of Data Processing_en.srt - 8.76 KB
-
008 Overview of Spark Key Features and Platforms_en.srt - 8.47 KB
-
006 Overview of Distributed Computing_en.srt - 8.26 KB
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003 Setup Environment to explore Pandas, Dask and Pyspark_en.srt - 7.88 KB
-
007 Overview of Official Documentation of Apache Spark_en.srt - 6.5 KB
-
009 Overview of Spark Infrastructure_en.srt - 6.1 KB
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011 Overview of Executors in Spark Cluster_en.srt - 4.37 KB
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002 Overview of Data Processing Libraries_en.srt - 3.19 KB
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012 Overview of Spark Glossary_en.srt - 2.92 KB
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-
31 - Ranking using Spark SQL Windowing Functions
-
006 Filter on Ranks using Spark SQL Windowing Functions.mp4 - 39.48 MB
-
003 Compute Global Rank using Spark SQL Windowing Functions.mp4 - 18.54 MB
-
004 Compute Ranks Per Key using Spark SQL Windowing Functions.mp4 - 14.93 MB
-
005 Difference Between rank and dense_rank.mp4 - 10.82 MB
-
002 Create Temporary View for ranking using Spark SQL Windowing Functions.mp4 - 5.53 MB
-
001 Ranking using Spark SQL Windowing Functions.mp4 - 2.96 MB
-
006 Filter on Ranks using Spark SQL Windowing Functions_en.srt - 10.94 KB
-
003 Compute Global Rank using Spark SQL Windowing Functions_en.srt - 9 KB
-
005 Difference Between rank and dense_rank_en.srt - 6.83 KB
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004 Compute Ranks Per Key using Spark SQL Windowing Functions_en.srt - 6.04 KB
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002 Create Temporary View for ranking using Spark SQL Windowing Functions_en.srt - 2.86 KB
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001 Ranking using Spark SQL Windowing Functions_en.srt - 2.26 KB
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-
50 - Getting Started with Pyspark on Hadoop and Spark Cluster
-
007 Process Data using pyspark Dataframe APIs.mp4 - 39.35 MB
-
008 Overview of Spark Submit Command.mp4 - 34.58 MB
-
003 Overview of Spark Properties Files.mp4 - 30.19 MB
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004 Review Data Sets to explore Pyspark APIs.mp4 - 30.08 MB
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002 Launching or Getting Started Pyspark CLI.mp4 - 28.23 MB
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005 Getting Started with Pyspark for Data Processing.mp4 - 19.89 MB
-
006 Read Orders and Order Items Data into Spark Data Frames.mp4 - 15.16 MB
-
001 Introduction to Getting Started with Pyspark.mp4 - 2.08 MB
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007 Process Data using pyspark Dataframe APIs_en.srt - 14.65 KB
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002 Launching or Getting Started Pyspark CLI_en.srt - 13.13 KB
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005 Getting Started with Pyspark for Data Processing_en.srt - 9.21 KB
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006 Read Orders and Order Items Data into Spark Data Frames_en.srt - 7.77 KB
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003 Overview of Spark Properties Files_en.srt - 7.02 KB
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008 Overview of Spark Submit Command_en.srt - 6.88 KB
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004 Review Data Sets to explore Pyspark APIs_en.srt - 6.71 KB
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001 Introduction to Getting Started with Pyspark_en.srt - 2.44 KB
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-
43 - Performance Tuning using Columnar File Format and Partitioning Strategy
-
011 Evaluate Requirements against Partition Pruning.mp4 - 37.67 MB
-
017 Redesign Partition Strategy to tune the performance.mp4 - 37.56 MB
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016 Add Condition for Partition Pruning.mp4 - 31.04 MB
-
002 Side effects of using CSV Files in Data Lake.mp4 - 27.61 MB
-
004 Restructure CSV Data to Columnar Format using Pyspark.mp4 - 25.85 MB
-
007 Overview of Performance Assessment of Spark Jobs.mp4 - 24.56 MB
-
015 Parameterize Spark SQL Solution for Partition Pruning.mp4 - 21.28 MB
-
018 Recap of Spark Performance Tuning Scenarios.mp4 - 14.45 MB
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006 Run Operations on Partitioned Parquet Data.mp4 - 14.11 MB
-
temp
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index_47675412.mpd - 97.43 KB
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index_47675346.mpd - 81.48 KB
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index_47675388.mpd - 72.44 KB
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index_47675414.mpd - 64.83 KB
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index_47675360.mpd - 60.12 KB
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index_47675372.mpd - 58.27 KB
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index_47675362.mpd - 55.88 KB
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index_47675386.mpd - 52.31 KB
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index_47675378.mpd - 43.37 KB
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-
003 Review the side effects of using CSV Files in Data Lake.encrypted.mp4.part.frag.urls - 32.23 KB
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003 Review the side effects of using CSV Files in Data Lake.encrypted.m4a.part.frag.urls - 32.2 KB
-
013 Review Execution Details for Performance Tuning using Partitioning_en.srt - 15.93 KB
-
008 Review Performance Details of Spark Operations on Parquet Files_en.srt - 12.34 KB
-
012 Solutions on Airlines Data for Performance Tuning using Partitioning_en.srt - 10.31 KB
-
009 Overview of Columnar File Formats in Spark and Databricks_en.srt - 10.29 KB
-
014 Get Airlines Data using Date Range without Partition Pruning_en.srt - 10.04 KB
-
011 Evaluate Requirements against Partition Pruning_en.srt - 9.21 KB
-
017 Redesign Partition Strategy to tune the performance_en.srt - 8.92 KB
-
004 Restructure CSV Data to Columnar Format using Pyspark_en.srt - 7.89 KB
-
016 Add Condition for Partition Pruning_en.srt - 7.74 KB
-
002 Side effects of using CSV Files in Data Lake_en.srt - 7.38 KB
-
018 Recap of Spark Performance Tuning Scenarios_en.srt - 7.37 KB
-
006 Run Operations on Partitioned Parquet Data_en.srt - 7.15 KB
-
010 Overview of Folder Structure for Partitioned Data in Spark_en.srt - 7.13 KB
-
007 Overview of Performance Assessment of Spark Jobs_en.srt - 6.18 KB
-
005 Compute Size of restrucutured data using Parquet File Format_en.srt - 6.15 KB
-
015 Parameterize Spark SQL Solution for Partition Pruning_en.srt - 5.78 KB
-
003 Review the side effects of using CSV Files in Data Lake_en.srt - 4.93 KB
-
001 Introduction to Performance Tuning while storing data in Data Lake_en.srt - 2.17 KB
-
003 Review the side effects of using CSV Files in Data Lake.encrypted.m4a.part - 0 B
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003 Review the side effects of using CSV Files in Data Lake.encrypted.mp4.part - 0 B
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-
08 - Performance Tuning of SQL Queries
-
003 Generate Explain Plans for SQL Queries.mp4 - 37.1 MB
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002 Overview of SQL Compilation Process and Explain Plans.mp4 - 36.17 MB
-
007 Interpret Explain Plans for Basic SQL Queries.mp4 - 32.59 MB
-
011 Add Required Indexes to tune performance of SQL Queries.mp4 - 31.21 MB
-
004 Review Tables used for Performance Tuning of SQL Queries.mp4 - 23.84 MB
-
009 Write SQL Queries for Customer Orders.mp4 - 23.58 MB
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013 Interpreting the explain plan for SQL Queries using Indexes.mp4 - 20.95 MB
-
010 Performance Testing of SQL Queries using Stored Procedure.mp4 - 17.16 MB
-
005 Review Data Storage Internals for Tables and Indexes.mp4 - 14.16 MB
-
006 Review key terms used in Explain Plans for SQL Queries.mp4 - 13.29 MB
-
008 Review the Common Application Scenarios for Performance Tuning.mp4 - 11.46 MB
-
012 Guidelines on adding Indexes on Tables for SQL Queries.mp4 - 11.09 MB
-
014 Conclusion of Performance Tuning of SQL Queries.mp4 - 10.94 MB
-
001 Introduction to Performance Tuning of SQL Queries.mp4 - 9.5 MB
-
004 Review Tables used for Performance Tuning of SQL Queries_en.srt - 13.05 KB
-
011 Add Required Indexes to tune performance of SQL Queries_en.srt - 11.79 KB
-
013 Interpreting the explain plan for SQL Queries using Indexes_en.srt - 9.3 KB
-
003 Generate Explain Plans for SQL Queries_en.srt - 9.15 KB
-
007 Interpret Explain Plans for Basic SQL Queries_en.srt - 9 KB
-
005 Review Data Storage Internals for Tables and Indexes_en.srt - 8.78 KB
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009 Write SQL Queries for Customer Orders_en.srt - 8.69 KB
-
002 Overview of SQL Compilation Process and Explain Plans_en.srt - 6.9 KB
-
010 Performance Testing of SQL Queries using Stored Procedure_en.srt - 6.86 KB
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006 Review key terms used in Explain Plans for SQL Queries_en.srt - 6.49 KB
-
012 Guidelines on adding Indexes on Tables for SQL Queries_en.srt - 5.73 KB
-
001 Introduction to Performance Tuning of SQL Queries_en.srt - 5.69 KB
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008 Review the Common Application Scenarios for Performance Tuning_en.srt - 4.87 KB
-
014 Conclusion of Performance Tuning of SQL Queries_en.srt - 4.11 KB
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-
18 - Getting Started with GCP
-
011 Install Google Cloud SDK on Windows.mp4 - 35.69 MB
-
012 Initialize gcloud CLI using GCP Project.mp4 - 25.68 MB
-
008 Overview of GCP Credits.mp4 - 21.01 MB
-
013 Reinitialize Google Cloud Shell with Project id.mp4 - 11.7 MB
-
004 Overview of Google Cloud Platform or GCP.mp4 - 11.52 MB
-
010 Overview of Google Cloud Shell.mp4 - 10.29 MB
-
003 Overview of Cloud Platforms.mp4 - 8.36 MB
-
014 Overview of Analytics Services on GCP.mp4 - 8.26 MB
-
007 Sign up for GCP using Google Account.mp4 - 7.75 MB
-
009 Overview of GCP Project and Billing.mp4 - 6.33 MB
-
006 Create New Google Account using Non Gmail Id.mp4 - 5.9 MB
-
005 Overview of Signing for GCP Account.mp4 - 5.86 MB
-
002 Pre-requisite Skills to Sign up for course on GCP Data Analytics.mp4 - 5.29 MB
-
015 Conclusion to Get Started with GCP for Data Engineering.mp4 - 4.19 MB
-
001 Introduction to Getting Started with GCP.mp4 - 4.18 MB
-
011 Install Google Cloud SDK on Windows_en.srt - 7.31 KB
-
003 Overview of Cloud Platforms_en.srt - 6.83 KB
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008 Overview of GCP Credits_en.srt - 5.84 KB
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010 Overview of Google Cloud Shell_en.srt - 5.71 KB
-
004 Overview of Google Cloud Platform or GCP_en.srt - 5.64 KB
-
007 Sign up for GCP using Google Account_en.srt - 5.37 KB
-
012 Initialize gcloud CLI using GCP Project_en.srt - 5.07 KB
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013 Reinitialize Google Cloud Shell with Project id_en.srt - 4.59 KB
-
014 Overview of Analytics Services on GCP_en.srt - 3.77 KB
-
006 Create New Google Account using Non Gmail Id_en.srt - 3.66 KB
-
009 Overview of GCP Project and Billing_en.srt - 3.57 KB
-
002 Pre-requisite Skills to Sign up for course on GCP Data Analytics_en.srt - 3.51 KB
-
005 Overview of Signing for GCP Account_en.srt - 2.94 KB
-
001 Introduction to Getting Started with GCP_en.srt - 1.73 KB
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015 Conclusion to Get Started with GCP for Data Engineering_en.srt - 1.65 KB
-
-
35 - Basic Transformations using Pyspark Data Frame APIs
-
010 Composite Sorting using Spark Data Frame APIs.mp4 - 35.54 MB
-
012 Review Data Set with Nulls for Sorting using Spark Data Frame APIs.mp4 - 34.89 MB
-
003 Apply Row Level transformations using Pyspark Data Frame APIs.mp4 - 28.29 MB
-
013 Dealing with Nulls while Sorting the Data in Spark Data Frames.mp4 - 26.44 MB
-
005 Filtering Data with Multiple Conditions using Pyspark Data Frame APIs.mp4 - 26.09 MB
-
007 Perform Aggregations by Key using Spark Data Frame APIs.mp4 - 23.22 MB
-
002 Overview of Row Level Transformations.mp4 - 22.46 MB
-
004 Filtering Data using Pyspark Data Frame APIs.mp4 - 20.06 MB
-
006 Perform Aggregations by Key using Spark Data Frame APIs.mp4 - 19.72 MB
-
009 Sorting Data using Spark Data Frame APIs.mp4 - 17.05 MB
-
011 Develop Spark SQL Queries for Sorting Data.mp4 - 13.77 MB
-
008 Perform Aggregations by Key using Spark Data Frame APIs.mp4 - 11.98 MB
-
001 Overview of Basic Transformations using Pyspark Data Frame APIs.mp4 - 5.57 MB
-
003 Apply Row Level transformations using Pyspark Data Frame APIs_en.srt - 13.11 KB
-
007 Perform Aggregations by Key using Spark Data Frame APIs_en.srt - 10.81 KB
-
010 Composite Sorting using Spark Data Frame APIs_en.srt - 10.66 KB
-
009 Sorting Data using Spark Data Frame APIs_en.srt - 9.83 KB
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005 Filtering Data with Multiple Conditions using Pyspark Data Frame APIs_en.srt - 9.64 KB
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012 Review Data Set with Nulls for Sorting using Spark Data Frame APIs_en.srt - 8.98 KB
-
002 Overview of Row Level Transformations_en.srt - 8.85 KB
-
004 Filtering Data using Pyspark Data Frame APIs_en.srt - 8 KB
-
006 Perform Aggregations by Key using Spark Data Frame APIs_en.srt - 7.6 KB
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013 Dealing with Nulls while Sorting the Data in Spark Data Frames_en.srt - 7.21 KB
-
008 Perform Aggregations by Key using Spark Data Frame APIs_en.srt - 6.92 KB
-
001 Overview of Basic Transformations using Pyspark Data Frame APIs_en.srt - 5.06 KB
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011 Develop Spark SQL Queries for Sorting Data_en.srt - 4.86 KB
-
-
37 - Ranking using Pyspark Data Frame APIs
-
007 Difference Between rank and dense_rank.mp4 - 34.69 MB
-
001 Introduction to Ranking using Spark Data Frame APIs.mp4 - 26.63 MB
-
004 Filter Based on Global Ranks using Spark Data Frame APIs.mp4 - 21.31 MB
-
003 Compute Global Ranks using Spark Data Frame APIs.mp4 - 15.92 MB
-
006 Filter Based on Ranks Per Partition using Spark Data Frame APIs.mp4 - 14.27 MB
-
005 Compute Ranks per Partition using Spark Data Frame APIs.mp4 - 10.6 MB
-
002 Syntax for ranking using Spark Data Frame APIs.mp4 - 5.68 MB
-
007 Difference Between rank and dense_rank_en.srt - 13.7 KB
-
001 Introduction to Ranking using Spark Data Frame APIs_en.srt - 10.19 KB
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003 Compute Global Ranks using Spark Data Frame APIs_en.srt - 8.8 KB
-
004 Filter Based on Global Ranks using Spark Data Frame APIs_en.srt - 7.31 KB
-
006 Filter Based on Ranks Per Partition using Spark Data Frame APIs_en.srt - 6.29 KB
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005 Compute Ranks per Partition using Spark Data Frame APIs_en.srt - 6.11 KB
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002 Syntax for ranking using Spark Data Frame APIs_en.srt - 5.34 KB
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-
27 - Aggregations using Spark SQL Queries
-
001 Perform Total Aggregations using Spark SQL Queries.mp4 - 33.77 MB
-
005 Filter Data based on Aggregate Results using HAVING in Spark SQL Queries.mp4 - 19.27 MB
-
004 Order of Execution of Spark SQL Queries.mp4 - 18.1 MB
-
003 GROUP BY Examples using Spark SQL Queries.mp4 - 14.24 MB
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002 Overview of Aggregations using GROUP BY in Spark SQL Queries.mp4 - 13.8 MB
-
001 Perform Total Aggregations using Spark SQL Queries_en.srt - 11.57 KB
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005 Filter Data based on Aggregate Results using HAVING in Spark SQL Queries_en.srt - 10.63 KB
-
004 Order of Execution of Spark SQL Queries_en.srt - 10.43 KB
-
003 GROUP BY Examples using Spark SQL Queries_en.srt - 8.21 KB
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002 Overview of Aggregations using GROUP BY in Spark SQL Queries_en.srt - 7.47 KB
-
-
41 - Performance Tuning of Spark - Cluster Configuration
-
004 Understand the size of the data using dbutils.mp4 - 32.98 MB
-
002 Difference Between All Purpose and Jobs Clusters.mp4 - 27.07 MB
-
010 Review Running Job Details using Spark UI.mp4 - 21.65 MB
-
009 Setup Databricks Job Compute Clusters using Workflows.mp4 - 21.09 MB
-
008 Analyze Airlines Data using Spark SQL.mp4 - 16.66 MB
-
011 Review Completed Job Details using Spark UI.mp4 - 13.01 MB
-
007 Performance Tuning of Cluster using Auto Scaling.mp4 - 11.9 MB
-
003 Setting up All Purpose Databricks Compute Clusters.mp4 - 11.3 MB
-
005 Create Multinode Databricks Cluster with Auto Scaling.mp4 - 10.01 MB
-
006 Overview of Auto Scaling of Databricks Clusters.mp4 - 9.66 MB
-
001 Introduction to Databricks Cluster Configuration.mp4 - 5.02 MB
-
004 Understand the size of the data using dbutils_en.srt - 10.22 KB
-
002 Difference Between All Purpose and Jobs Clusters_en.srt - 8.45 KB
-
003 Setting up All Purpose Databricks Compute Clusters_en.srt - 8.29 KB
-
009 Setup Databricks Job Compute Clusters using Workflows_en.srt - 8.16 KB
-
007 Performance Tuning of Cluster using Auto Scaling_en.srt - 6.77 KB
-
011 Review Completed Job Details using Spark UI_en.srt - 6.02 KB
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010 Review Running Job Details using Spark UI_en.srt - 5.27 KB
-
005 Create Multinode Databricks Cluster with Auto Scaling_en.srt - 5.21 KB
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008 Analyze Airlines Data using Spark SQL_en.srt - 5.13 KB
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006 Overview of Auto Scaling of Databricks Clusters_en.srt - 5.01 KB
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001 Introduction to Databricks Cluster Configuration_en.srt - 3.11 KB
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-
11 - Getting Started with Python
-
009 Getting help on Python Variables and Functions.mp4 - 32.91 MB
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002 Setup Notebook Environment in VS Code Workspace.mp4 - 23.28 MB
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012 Loops and Conditions in Python.mp4 - 20.48 MB
-
011 Overview of Python Lists.mp4 - 19.7 MB
-
010 Pre-Defined String Manipulation Functions.mp4 - 16.15 MB
-
001 Setup Visual Studio Workspace for Python Application Development.mp4 - 15.04 MB
-
013 User Defined Functions in Python.mp4 - 14.61 MB
-
005 Defining Functions in VS Code Notebooks.mp4 - 13.45 MB
-
004 Overview of Cells in VS Code Notebook.mp4 - 12.98 MB
-
007 Constants and Variables in Python.mp4 - 12.16 MB
-
006 Run the Code in VS Code Notebook Cell by Line.mp4 - 12 MB
-
008 Overview of Python Data Types.mp4 - 9.74 MB
-
003 Overview of VS Code Notebook Environment.mp4 - 9.07 MB
-
012 Loops and Conditions in Python_en.srt - 14.1 KB
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011 Overview of Python Lists_en.srt - 11.43 KB
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004 Overview of Cells in VS Code Notebook_en.srt - 10.87 KB
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010 Pre-Defined String Manipulation Functions_en.srt - 10.8 KB
-
013 User Defined Functions in Python_en.srt - 10.79 KB
-
002 Setup Notebook Environment in VS Code Workspace_en.srt - 10.79 KB
-
001 Setup Visual Studio Workspace for Python Application Development_en.srt - 10.46 KB
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009 Getting help on Python Variables and Functions_en.srt - 10.36 KB
-
005 Defining Functions in VS Code Notebooks_en.srt - 10.13 KB
-
006 Run the Code in VS Code Notebook Cell by Line_en.srt - 9.7 KB
-
007 Constants and Variables in Python_en.srt - 9.59 KB
-
003 Overview of VS Code Notebook Environment_en.srt - 8.05 KB
-
008 Overview of Python Data Types_en.srt - 6.66 KB
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0. Websites you may like
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[FreeCourseSite.com].url - 127 B
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[CourseClub.Me].url - 122 B
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[GigaCourse.Com].url - 49 B
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02 - Getting Started with SQL for Data Engineering
-
003 Overview of Database Technologies and relevance of SQL.mp4 - 30.27 MB
-
002 Overview of Application Architecture and RDBMS.mp4 - 16.85 MB
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005 Overview of Data Warehouse and Data Lake.mp4 - 16.73 MB
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004 Overview of Purpose Built Databases.mp4 - 16.17 MB
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006 Usage of RDBMS and Data Warehouse technologies.mp4 - 15 MB
-
007 Differences and Similarities between RDBMS and Data Warehouse Technologies.mp4 - 10.82 MB
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001 Introduction to SQL for Data Engineering.mp4 - 6.12 MB
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004 Overview of Purpose Built Databases_en.srt - 9.38 KB
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003 Overview of Database Technologies and relevance of SQL_en.srt - 9.14 KB
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002 Overview of Application Architecture and RDBMS_en.srt - 6.4 KB
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007 Differences and Similarities between RDBMS and Data Warehouse Technologies_en.srt - 5.68 KB
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005 Overview of Data Warehouse and Data Lake_en.srt - 5.38 KB
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006 Usage of RDBMS and Data Warehouse technologies_en.srt - 4.95 KB
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001 Introduction to SQL for Data Engineering_en.srt - 2.66 KB
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34 - Create Spark Data Frames using Pyspark Data Frame APIs
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003 Overview of Data Processing using Conventional loops.mp4 - 30.08 MB
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011 Overview of Writing Data in Data Frame to Delta Files.mp4 - 25.56 MB
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006 Overview of Spark Data Frames and their Characteristics.mp4 - 19.23 MB
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009 Applying functions on Spark Data Frame Columns.mp4 - 18.67 MB
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004 Overview of Data Frame Concepts.mp4 - 16.9 MB
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001 Create Spark Data Frame using Pyspark Data Frame APIs.mp4 - 13.64 MB
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007 Projecting Data in Spark Data Frames using Select.mp4 - 11.34 MB
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010 Using withColumn to apply transformations on Spark Data Frames.mp4 - 11.06 MB
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005 Advantages of Pyspark Data Frames.mp4 - 9.18 MB
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008 Using drop to drop columns from Spark Data Frame.mp4 - 7.52 MB
-
002 Introduction to Processing JSON like Data using Spark SQL.mp4 - 2.34 MB
-
003 Overview of Data Processing using Conventional loops_en.srt - 11.11 KB
-
009 Applying functions on Spark Data Frame Columns_en.srt - 10.24 KB
-
004 Overview of Data Frame Concepts_en.srt - 9.45 KB
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006 Overview of Spark Data Frames and their Characteristics_en.srt - 8.79 KB
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011 Overview of Writing Data in Data Frame to Delta Files_en.srt - 8.23 KB
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001 Create Spark Data Frame using Pyspark Data Frame APIs_en.srt - 7.37 KB
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007 Projecting Data in Spark Data Frames using Select_en.srt - 6.64 KB
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010 Using withColumn to apply transformations on Spark Data Frames_en.srt - 5.78 KB
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005 Advantages of Pyspark Data Frames_en.srt - 5.4 KB
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008 Using drop to drop columns from Spark Data Frame_en.srt - 4.24 KB
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002 Introduction to Processing JSON like Data using Spark SQL_en.srt - 2.04 KB
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40 - Performance Tuning of Spark - Catalyst Optimizer
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010 Understand Join and Aggregation for Daily Product Revenue.mp4 - 30.04 MB
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005 Generate Explain Plans on Spark Dataframes using explain function.mp4 - 25.74 MB
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003 Review Explain Plan for Spark Dataframe logic using Spark UI.mp4 - 21.05 MB
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009 Understand Filter and Broadcast of Orders Data.mp4 - 20.92 MB
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004 Review Explain Plan for Spark SQL logic using Spark UI.mp4 - 18.27 MB
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007 Interpreting Explain Plan for Spark SQL Query.mp4 - 16.15 MB
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008 Overview of Spark Architecture.mp4 - 16.13 MB
-
001 Getting Started with Performance Tuning using Spark on Databricks.mp4 - 12.45 MB
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002 Overview of Spark Catalyst Optimizer.mp4 - 11.92 MB
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006 Generate Explain Plans on Spark SQL Queries using explain command.mp4 - 7.52 MB
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009 Understand Filter and Broadcast of Orders Data_en.srt - 9.21 KB
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007 Interpreting Explain Plan for Spark SQL Query_en.srt - 8.58 KB
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010 Understand Join and Aggregation for Daily Product Revenue_en.srt - 7.65 KB
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002 Overview of Spark Catalyst Optimizer_en.srt - 6.7 KB
-
005 Generate Explain Plans on Spark Dataframes using explain function_en.srt - 6.62 KB
-
003 Review Explain Plan for Spark Dataframe logic using Spark UI_en.srt - 6.46 KB
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008 Overview of Spark Architecture_en.srt - 6.04 KB
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004 Review Explain Plan for Spark SQL logic using Spark UI_en.srt - 5.36 KB
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001 Getting Started with Performance Tuning using Spark on Databricks_en.srt - 5.18 KB
-
006 Generate Explain Plans on Spark SQL Queries using explain command_en.srt - 4.3 KB
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-
05 - Writing Basic SQL Queries
-
010 Outer Joins using SQL Queries.mp4 - 30.04 MB
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014 Outer Join with Additional Conditions in SQL Queries.mp4 - 24.31 MB
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003 Filtering Data using SQL Queries.mp4 - 22.27 MB
-
005 Group By Aggregations using SQL Queries.mp4 - 20.16 MB
-
001 Review Data Model Diagram.mp4 - 18.55 MB
-
009 Inner Joins using SQL Queries.mp4 - 18.17 MB
-
006 Order of Execution of SQL Queries.mp4 - 17.44 MB
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015 Explanation about Fix of SQL Queries with Filtering on Outer Join Results.mp4 - 17.08 MB
-
012 Overview of Database Views.mp4 - 15.91 MB
-
007 Rules and Restrictions to Group and Filter Data in SQL queries.mp4 - 13.64 MB
-
004 Total Aggregations using SQL Queries.mp4 - 13.44 MB
-
008 Filter Data based on Aggregated Results using Group By and Having.mp4 - 11.98 MB
-
011 Filter and Aggregate on Join Results using SQL.mp4 - 10.73 MB
-
013 Overview of Common Table Expressions or CTEs.mp4 - 10.46 MB
-
002 Define Problem Statement for SQL Queries.mp4 - 6.94 MB
-
005 Group By Aggregations using SQL Queries_en.srt - 12.47 KB
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014 Outer Join with Additional Conditions in SQL Queries_en.srt - 12.22 KB
-
010 Outer Joins using SQL Queries_en.srt - 11.36 KB
-
006 Order of Execution of SQL Queries_en.srt - 10.74 KB
-
003 Filtering Data using SQL Queries_en.srt - 10.51 KB
-
012 Overview of Database Views_en.srt - 9.73 KB
-
004 Total Aggregations using SQL Queries_en.srt - 8.86 KB
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009 Inner Joins using SQL Queries_en.srt - 8.56 KB
-
007 Rules and Restrictions to Group and Filter Data in SQL queries_en.srt - 8.32 KB
-
001 Review Data Model Diagram_en.srt - 8.26 KB
-
008 Filter Data based on Aggregated Results using Group By and Having_en.srt - 6.72 KB
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015 Explanation about Fix of SQL Queries with Filtering on Outer Join Results_en.srt - 6.47 KB
-
013 Overview of Common Table Expressions or CTEs_en.srt - 6.36 KB
-
011 Filter and Aggregate on Join Results using SQL_en.srt - 6.22 KB
-
002 Define Problem Statement for SQL Queries_en.srt - 2.77 KB
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-
38 - Integration of Spark SQL and Pyspark Data Frame APIs
-
007 Manage Spark Metastore Database Objects using Spark APIs.mp4 - 29.65 MB
-
002 Run Spark SQL Queries on Spark Data Frames.mp4 - 26.72 MB
-
006 Process Data in Spark Metastore Tables using Data Frame APIs.mp4 - 26.65 MB
-
003 Create Spark Metastore Tables using Data Frames.mp4 - 18.8 MB
-
004 Insert into Spark Metastore Tables using Data Frames.mp4 - 14.97 MB
-
005 Read Data from Spark Metastore Table to Data Frames.mp4 - 12.76 MB
-
001 Introduction to Integration of Spark SQL and Pyspark Data Frame APIs.mp4 - 4.02 MB
-
002 Run Spark SQL Queries on Spark Data Frames_en.srt - 9 KB
-
007 Manage Spark Metastore Database Objects using Spark APIs_en.srt - 8.99 KB
-
006 Process Data in Spark Metastore Tables using Data Frame APIs_en.srt - 8.64 KB
-
003 Create Spark Metastore Tables using Data Frames_en.srt - 8.43 KB
-
004 Insert into Spark Metastore Tables using Data Frames_en.srt - 7.23 KB
-
005 Read Data from Spark Metastore Table to Data Frames_en.srt - 6.85 KB
-
001 Introduction to Integration of Spark SQL and Pyspark Data Frame APIs_en.srt - 2.92 KB
-
-
04 - Setup Application Tables and Data in Postgres Database
-
001 Overview of Postgres Database Server and pgAdmin.mp4 - 28.8 MB
-
002 Overview of Database Connection Details.mp4 - 27.29 MB
-
008 Overview of pgAdmin to write SQL Queries.mp4 - 26.86 MB
-
007 Setup Application Tables and Data in Postgres Database.mp4 - 18.21 MB
-
003 Overview of Connecting to External Databases using pgAdmin.mp4 - 10.71 MB
-
006 Register Server in pgAdmin using Application Database and User.mp4 - 9.18 MB
-
004 Create Application Database and User in Postgres Database Server.mp4 - 8.97 MB
-
005 Clone Data Sets from Git Repository for Database Scripts.mp4 - 8.91 MB
-
008 Overview of pgAdmin to write SQL Queries_en.srt - 20.49 KB
-
001 Overview of Postgres Database Server and pgAdmin_en.srt - 12.86 KB
-
007 Setup Application Tables and Data in Postgres Database_en.srt - 11.91 KB
-
002 Overview of Database Connection Details_en.srt - 10.85 KB
-
003 Overview of Connecting to External Databases using pgAdmin_en.srt - 7.15 KB
-
006 Register Server in pgAdmin using Application Database and User_en.srt - 6.25 KB
-
004 Create Application Database and User in Postgres Database Server_en.srt - 6.11 KB
-
005 Clone Data Sets from Git Repository for Database Scripts_en.srt - 4.67 KB
-
-
09 - Exercises for Basic SQL Queries
-
001 Simple Exercises for Filtering and Aggregations.mp4 - 28.36 MB
-
002 Exercises on Joins and Aggregations using SQL.mp4 - 11.75 MB
-
001 Simple Exercises for Filtering and Aggregations_en.srt - 7.51 KB
-
002 Exercises on Joins and Aggregations using SQL_en.srt - 4.78 KB
-
-
42 - Performance Tuning while inferring schema from CSV or JSON files
-
004 Overview of overhead for inferring schema.mp4 - 27.22 MB
-
005 Performance Tuning to infer schema of Spark Dataframe.mp4 - 27.17 MB
-
003 Overview of CSV or JSON Files.mp4 - 17.25 MB
-
002 Steps to convert CSV or JSON Files to Parquet or Delta Files.mp4 - 9.92 MB
-
001 Overview of Inferring Schema using CSV or JSON Files.mp4 - 4.49 MB
-
004 Overview of overhead for inferring schema_en.srt - 10.1 KB
-
005 Performance Tuning to infer schema of Spark Dataframe_en.srt - 8.84 KB
-
003 Overview of CSV or JSON Files_en.srt - 7.93 KB
-
002 Steps to convert CSV or JSON Files to Parquet or Delta Files_en.srt - 5.57 KB
-
001 Overview of Inferring Schema using CSV or JSON Files_en.srt - 2.81 KB
-
-
36 - Joining Data using Spark Data Frame APIs
-
005 Join and other Spark Data Frame APIs to process the data.mp4 - 26.37 MB
-
009 Equivalent Spark SQL Queries for Joins.mp4 - 25.19 MB
-
002 Create Data Frames to Join using Spark Data Frame APIs.mp4 - 23.68 MB
-
004 Inner Join using Spark Data Frame APIs.mp4 - 19.48 MB
-
007 Left Outer Join using Spark Data Frame APIs.mp4 - 17.71 MB
-
008 Right Outer Join using Spark Data Frame APIs.mp4 - 14.42 MB
-
006 Analyze Data for outer joins using Spark Data Frame APIs.mp4 - 9.71 MB
-
003 Review Syntax for join using Spark Data Frame APIs.mp4 - 7.02 MB
-
001 Introduction to Joining Data using Spark Data Frame APIs.mp4 - 2.69 MB
-
005 Join and other Spark Data Frame APIs to process the data_en.srt - 10.47 KB
-
007 Left Outer Join using Spark Data Frame APIs_en.srt - 10.38 KB
-
004 Inner Join using Spark Data Frame APIs_en.srt - 9.49 KB
-
002 Create Data Frames to Join using Spark Data Frame APIs_en.srt - 8.85 KB
-
009 Equivalent Spark SQL Queries for Joins_en.srt - 8.45 KB
-
008 Right Outer Join using Spark Data Frame APIs_en.srt - 7.33 KB
-
003 Review Syntax for join using Spark Data Frame APIs_en.srt - 5.26 KB
-
006 Analyze Data for outer joins using Spark Data Frame APIs_en.srt - 5.23 KB
-
001 Introduction to Joining Data using Spark Data Frame APIs_en.srt - 2.78 KB
-
-
26 - Filtering Data using Spark SQL Queries
-
002 Using IN, LIKE and BETWEEN in Spark SQL Queries.mp4 - 26.33 MB
-
001 Filtering Data using Equal Condition in Spark SQL.mp4 - 16.81 MB
-
003 Filter Data using Boolean AND in Spark SQL Queries.mp4 - 16.34 MB
-
004 Filter Data using Boolean OR in Spark SQL Queries.mp4 - 13.5 MB
-
005 Dealing with NULLS while Filtering Data in Spark SQL Queries.mp4 - 11.29 MB
-
001 Filtering Data using Equal Condition in Spark SQL_en.srt - 8.12 KB
-
002 Using IN, LIKE and BETWEEN in Spark SQL Queries_en.srt - 7.48 KB
-
003 Filter Data using Boolean AND in Spark SQL Queries_en.srt - 7.29 KB
-
004 Filter Data using Boolean OR in Spark SQL Queries_en.srt - 6.99 KB
-
005 Dealing with NULLS while Filtering Data in Spark SQL Queries_en.srt - 5.78 KB
-
-
06 - Cumulative Aggregations and Ranking in SQL Queries
-
004 Overview of OVER and PARTITION BY Clause in SQL Queries.mp4 - 25.48 MB
-
010 Filtering based on Global Ranks using Nested Queries and CTEs in SQL.mp4 - 18.88 MB
-
013 Difference between rank and dense rank using SQL.mp4 - 14.76 MB
-
008 Compute Ranks based on key using SQL.mp4 - 12.82 MB
-
002 Overview of CTAS to create tables based on Query Results.mp4 - 12.2 MB
-
007 Compute Global Ranks using SQL.mp4 - 11.79 MB
-
009 Rules and Restrictions to Filter Data based on Ranks in SQL.mp4 - 10.26 MB
-
006 Overview of Ranking in SQL.mp4 - 8.86 MB
-
012 Create Students table with Data for ranking using SQL.mp4 - 7.61 MB
-
003 Create Tables for Cumulative Aggregations and Ranking.mp4 - 6.05 MB
-
005 Compute Total Aggregation using OVER and PARTITION BY in SQL Queries.mp4 - 5.24 MB
-
001 Introduction to Cumulative Aggregations and Ranking in SQL Queries.mp4 - 4.21 MB
-
011 Filtering based on Ranks per Partition using Nested Queries and CTEs in SQL.encrypted.m4a.part.frag.urls - 51.3 KB
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011 Filtering based on Ranks per Partition using Nested Queries and CTEs in SQL.encrypted.mp4.part.frag.urls - 51.3 KB
-
temp
-
index_47681948.mpd - 33.84 KB
-
-
004 Overview of OVER and PARTITION BY Clause in SQL Queries_en.srt - 11.33 KB
-
013 Difference between rank and dense rank using SQL_en.srt - 9.64 KB
-
010 Filtering based on Global Ranks using Nested Queries and CTEs in SQL_en.srt - 8.29 KB
-
011 Filtering based on Ranks per Partition using Nested Queries and CTEs in SQL_en.srt - 8.13 KB
-
002 Overview of CTAS to create tables based on Query Results_en.srt - 7.26 KB
-
008 Compute Ranks based on key using SQL_en.srt - 7.1 KB
-
007 Compute Global Ranks using SQL_en.srt - 6.89 KB
-
006 Overview of Ranking in SQL_en.srt - 5.22 KB
-
009 Rules and Restrictions to Filter Data based on Ranks in SQL_en.srt - 4.8 KB
-
012 Create Students table with Data for ranking using SQL_en.srt - 4.66 KB
-
003 Create Tables for Cumulative Aggregations and Ranking_en.srt - 3.21 KB
-
005 Compute Total Aggregation using OVER and PARTITION BY in SQL Queries_en.srt - 3 KB
-
001 Introduction to Cumulative Aggregations and Ranking in SQL Queries_en.srt - 2.38 KB
-
011 Filtering based on Ranks per Partition using Nested Queries and CTEs in SQL.encrypted.m4a.part - 0 B
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011 Filtering based on Ranks per Partition using Nested Queries and CTEs in SQL.encrypted.mp4.part - 0 B
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-
03 - Setup Tools for Data Engineering Essentials
-
003 Setup Python 3.9 on Windows.mp4 - 22.45 MB
-
007 Install Postgres 14 on Windows 11.mp4 - 15.17 MB
-
002 Setup VS Code on Windows.mp4 - 13.97 MB
-
009 Getting Started with pgAdmin on Mac.mp4 - 12.96 MB
-
004 Configure Environment Variable PATH for Python on Windows.mp4 - 12.35 MB
-
006 Integrate VSCode with Python on Windows.mp4 - 11.67 MB
-
005 Overview of learning Python using Python CLI.mp4 - 10.11 MB
-
001 Introduction to Setting up Tools for Data Engineering Essentials.mp4 - 8 MB
-
008 Getting Started with pgAdmin on Windows.mp4 - 7.74 MB
-
010 Conclusion of Setting up Tools for Data Engineering Essentials.mp4 - 5.65 MB
-
003 Setup Python 3.9 on Windows_en.srt - 8.09 KB
-
009 Getting Started with pgAdmin on Mac_en.srt - 7.94 KB
-
007 Install Postgres 14 on Windows 11_en.srt - 7.7 KB
-
006 Integrate VSCode with Python on Windows_en.srt - 7.29 KB
-
004 Configure Environment Variable PATH for Python on Windows_en.srt - 6.59 KB
-
002 Setup VS Code on Windows_en.srt - 5.34 KB
-
005 Overview of learning Python using Python CLI_en.srt - 5.05 KB
-
008 Getting Started with pgAdmin on Windows_en.srt - 4.08 KB
-
001 Introduction to Setting up Tools for Data Engineering Essentials_en.srt - 3.79 KB
-
010 Conclusion of Setting up Tools for Data Engineering Essentials_en.srt - 2.57 KB
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-
25 - Setup Spark Metastore Tables for Basic Transformations
-
003 Projecting Data using Spark SQL.mp4 - 22.3 MB
-
002 Prepare Spark Metastore Tables for Basic Transformations.mp4 - 18.55 MB
-
001 Introduction to Basic Transformations using Spark SQL.mp4 - 4.12 MB
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003 Projecting Data using Spark SQL_en.srt - 9.74 KB
-
002 Prepare Spark Metastore Tables for Basic Transformations_en.srt - 7.33 KB
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001 Introduction to Basic Transformations using Spark SQL_en.srt - 3.14 KB
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-
32 - Processing JSON like Data using Spark SQL
-
007 Dealing with Array of Struct Type Columns using Spark SQL Queries.mp4 - 21.01 MB
-
009 Generate Array Type Columns from Regular Columns in Spark SQL.mp4 - 20.88 MB
-
005 Projecting Data From Struct Type Fields in Spark SQL.mp4 - 19.6 MB
-
011 Processing Delimited Strings using Spark SQL Queries.mp4 - 19.08 MB
-
006 Creating Spark Metastore Tables with Array of Struct Column.mp4 - 17.39 MB
-
003 Dealing with Array Type Columns using Spark SQL Queries.mp4 - 16.66 MB
-
010 Generate Array of Struct Type Columns from Regular Columns in Spark SQL.mp4 - 15.07 MB
-
002 Creating Spark Metastore Tables with Array Type Columns.mp4 - 13.74 MB
-
001 Overview of JSON.mp4 - 10.63 MB
-
008 Overview of Important Functions to Process JSON Data in Spark SQL.mp4 - 10.48 MB
-
004 Creating Spark Metastore Tables with Struct Type Columns.mp4 - 7.77 MB
-
003 Dealing with Array Type Columns using Spark SQL Queries_en.srt - 8.46 KB
-
009 Generate Array Type Columns from Regular Columns in Spark SQL_en.srt - 8.05 KB
-
001 Overview of JSON_en.srt - 8.02 KB
-
007 Dealing with Array of Struct Type Columns using Spark SQL Queries_en.srt - 7.51 KB
-
002 Creating Spark Metastore Tables with Array Type Columns_en.srt - 7.36 KB
-
011 Processing Delimited Strings using Spark SQL Queries_en.srt - 7.23 KB
-
005 Projecting Data From Struct Type Fields in Spark SQL_en.srt - 7.08 KB
-
010 Generate Array of Struct Type Columns from Regular Columns in Spark SQL_en.srt - 6.83 KB
-
006 Creating Spark Metastore Tables with Array of Struct Column_en.srt - 6.53 KB
-
008 Overview of Important Functions to Process JSON Data in Spark SQL_en.srt - 6.3 KB
-
004 Creating Spark Metastore Tables with Struct Type Columns_en.srt - 5.76 KB
-
-
29 - Sorting using Spark SQL Queries
-
001 Sorting Data using Spark SQL Queries.mp4 - 15.5 MB
-
002 Dealing with Nulls while Sorting Data using Spark SQL Queries.mp4 - 15.05 MB
-
001 Sorting Data using Spark SQL Queries_en.srt - 6.9 KB
-
002 Dealing with Nulls while Sorting Data using Spark SQL Queries_en.srt - 6.1 KB
-
-
19 - Overview of Big Data and Data Lakes
-
007 Overview of Data Lake using Hadoop eco system.mp4 - 14.14 MB
-
005 Overview of Big Data.mp4 - 13.81 MB
-
008 Limitations of Hadoop eco system.mp4 - 12.76 MB
-
011 Advantages of Modern Data Lakes on Cloud.mp4 - 10.47 MB
-
003 Technologies for Different Types of Databases.mp4 - 9.2 MB
-
004 Volumes for Different Types of Databases.mp4 - 9.16 MB
-
002 Usecases for Different Types of Databases.mp4 - 9.04 MB
-
010 Implementation of Modern Data Lakes on Cloud.mp4 - 8.65 MB
-
009 Overview of Modern Data Lakes on Cloud.mp4 - 6.54 MB
-
006 Evolution of Big Data Technologies.mp4 - 6.05 MB
-
001 Different Types of Databases.mp4 - 4.15 MB
-
007 Overview of Data Lake using Hadoop eco system_en.srt - 10.17 KB
-
008 Limitations of Hadoop eco system_en.srt - 9.26 KB
-
005 Overview of Big Data_en.srt - 7.16 KB
-
011 Advantages of Modern Data Lakes on Cloud_en.srt - 6.57 KB
-
002 Usecases for Different Types of Databases_en.srt - 6.56 KB
-
010 Implementation of Modern Data Lakes on Cloud_en.srt - 5.88 KB
-
003 Technologies for Different Types of Databases_en.srt - 5.87 KB
-
004 Volumes for Different Types of Databases_en.srt - 5.66 KB
-
009 Overview of Modern Data Lakes on Cloud_en.srt - 4.35 KB
-
006 Evolution of Big Data Technologies_en.srt - 4.34 KB
-
001 Different Types of Databases_en.srt - 3.38 KB
-
-
0. Websites you may like
-
[FreeCourseSite.com].url - 127 B
-
[CourseClub.Me].url - 122 B
-
[GigaCourse.Com].url - 49 B
-
-
| Trackers | Seeders | Leechers | Downloads |
|---|---|---|---|
| udp://tracker2.dler.com:80/announce | 0 | 2 | 0 |
| udp://tracker.torrent.eu.org:451/announce | 0 | 2 | 0 |
| udp://www.torrent.eu.org:451/announce | 0 | 2 | 0 |
| udp://tracker.opentrackr.org:1337/announce | 8 | 46 | 29 |
| udp://open.stealth.si:80/announce | 5 | 32 | 23 |
| udp://pow7.com:80/announce | 1 | 20 | 4 |
| udp://p4p.arenabg.com:1337/announce | 0 | 0 | 0 |
| udp://tracker.leech.ie:1337/announce | 0 | 1 | 0 |
| udp://movies.zsw.ca:6969/announce | 0 | 3 | 1 |
| udp://tracker.blacksparrowmedia.net:6969/announce | 0 | 0 | 0 |
| udp://opentracker.i2p.rocks:6969/announce | 3 | 29 | 5 |
| udp://exodus.desync.com:6969/announce | 0 | 3 | 0 |
| udp://tracker.theoks.net:6969/announce | 0 | 2 | 1 |
| udp://explodie.org:6969/announce | 4 | 26 | 0 |
| udp://bt2.archive.org:6969/announce | 0 | 2 | 0 |
| udp://bt1.archive.org:6969/announce | 0 | 2 | 0 |
| udp://tracker.army:6969/announce | 0 | 0 | 0 |
| udp://tracker1.bt.moack.co.kr:80/announce | 0 | 2 | 1 |
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InfoHash:
ED79E89B5619CA524DB7B7F719ACA2ABC2C9F74B
Last updated:
Jul 28, 2023
File count:
1.24 KB
File Category:
9
Tags:
and PySpark, Python, using SQL, Essentials, Engineering, Data, Udemy, Other, Tutorials