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[Tutorialsplanet.NET] Udemy - Data Engineering Essentials Hands-on SQL Python and Spark
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29. Programming Essentials using Python - Processing REST Payloads
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6. Process REST Payload using Collection Operations.mp4 - 131.13 MB
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7. Process REST Payload using Pandas.mp4 - 69.91 MB
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4. Getting Started with requests.mp4 - 63.04 MB
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5. Convert REST Payload to Python Objects.mp4 - 53.7 MB
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3. Overview of Postman.mp4 - 47.32 MB
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2. Using curl command.mp4 - 44.63 MB
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1. Overview of REST APIs.mp4 - 26.04 MB
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6. Process REST Payload using Collection Operations.srt - 24.75 KB
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7. Process REST Payload using Pandas.srt - 16.43 KB
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4. Getting Started with requests.srt - 12.61 KB
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3. Overview of Postman.srt - 11.79 KB
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5. Convert REST Payload to Python Objects.srt - 7.98 KB
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2. Using curl command.srt - 7.74 KB
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1. Overview of REST APIs.srt - 5.55 KB
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32. Data Copier - Getting Started
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5. Quick Overview of Docker.mp4 - 115.68 MB
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7. Create Postgres Container.mp4 - 68.61 MB
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12. Create GitHub Project.mp4 - 63.97 MB
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9. Overview of Postgres Database Commands.mp4 - 62.02 MB
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8. Setup Postgres Database for development.mp4 - 52.4 MB
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4. Setup Docker on Windows 10 Pro.mp4 - 46.13 MB
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10. Setup Project using Pycharm.mp4 - 30.68 MB
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11. Managing Dependencies for the project.mp4 - 29.9 MB
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2. Problem Statement - Data Copier.mp4 - 25.09 MB
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6. Prepare Dataset.mp4 - 14.28 MB
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1. Introduction to Getting Started for Data copier.mp4 - 11.61 MB
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3. Create Working Directory for the Project.mp4 - 8.73 MB
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5. Quick Overview of Docker.srt - 19.8 KB
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7. Create Postgres Container.srt - 16.48 KB
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9. Overview of Postgres Database Commands.srt - 16.07 KB
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12. Create GitHub Project.srt - 11.79 KB
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4. Setup Docker on Windows 10 Pro.srt - 10.75 KB
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8. Setup Postgres Database for development.srt - 9.38 KB
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10. Setup Project using Pycharm.srt - 7.57 KB
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2. Problem Statement - Data Copier.srt - 5.65 KB
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11. Managing Dependencies for the project.srt - 5.3 KB
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1. Introduction to Getting Started for Data copier.srt - 4.64 KB
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6. Prepare Dataset.srt - 3.12 KB
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3. Create Working Directory for the Project.srt - 2.65 KB
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2.1 Problem Statement - Data Copier.html - 164 B
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10.1 Setup Project using Pycharm.html - 160 B
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12.1 Create GitHub Project.html - 157 B
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5.1 Quick Overview of Docker.html - 157 B
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7.1 Setup Postgres Database.html - 156 B
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8.1 Setup Postgres Database.html - 156 B
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11.1 Managing Dependencies for the project.html - 154 B
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9.1 Overview of Postgres Commands.html - 153 B
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1.1 Introduction to Getting Started for Data copier.html - 148 B
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6.1 Prepare Dataset.html - 148 B
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4.1 Setup Docker.html - 145 B
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23. Programming Essentials using Python - Basics of File IO using Python
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12. Managing Files and Folders using Python.mp4 - 115.22 MB
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3. Folders and Files.mp4 - 84.58 MB
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10. Read csv into list of strings.mp4 - 58.97 MB
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8. Overview of modes to write into files.mp4 - 49.72 MB
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7. Write string to text file.mp4 - 37.38 MB
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5. Overview of Retail Data.mp4 - 35.72 MB
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6. Read text file into string.mp4 - 33.53 MB
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11. Writing Strings to file in Append Mode.mp4 - 33.46 MB
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4. File Paths and Names.mp4 - 28.31 MB
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9. Overview of Delimited Strings.mp4 - 27.13 MB
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1. Basics of File IO using Python - Introduction.mp4 - 19.15 MB
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2. Overview of File IO.mp4 - 18.67 MB
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12. Managing Files and Folders using Python.srt - 23.38 KB
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3. Folders and Files.srt - 19.5 KB
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8. Overview of modes to write into files.srt - 13.11 KB
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10. Read csv into list of strings.srt - 11.21 KB
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11. Writing Strings to file in Append Mode.srt - 9.46 KB
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5. Overview of Retail Data.srt - 8.11 KB
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7. Write string to text file.srt - 7.97 KB
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6. Read text file into string.srt - 7.34 KB
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9. Overview of Delimited Strings.srt - 6.9 KB
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4. File Paths and Names.srt - 6.39 KB
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1. Basics of File IO using Python - Introduction.srt - 5.55 KB
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2. Overview of File IO.srt - 4.9 KB
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28. Programming Essentials using Python - Processing JSON Data
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5. Process JSON String.mp4 - 104.42 MB
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6. Single JSON Document in Files.mp4 - 91.04 MB
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9. Different JSON Formats supported by Pandas.mp4 - 79.88 MB
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10. Common Use Cases for JSON.mp4 - 76.28 MB
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11. Write to JSON files using json module.mp4 - 64.99 MB
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4. Create JSON String.mp4 - 61.1 MB
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8. Process JSON using Pandas.mp4 - 58.3 MB
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7. Multiple JSON Documents in files.mp4 - 55.67 MB
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12. Write to JSON files using pandas.mp4 - 49.45 MB
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2. Overview of JSON.mp4 - 19.77 MB
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3. JSON Data Types.mp4 - 14.72 MB
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1. Processing JSON Data - Introduction.mp4 - 9.49 MB
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5. Process JSON String.srt - 21.1 KB
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6. Single JSON Document in Files.srt - 16.63 KB
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10. Common Use Cases for JSON.srt - 13.62 KB
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9. Different JSON Formats supported by Pandas.srt - 11.54 KB
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11. Write to JSON files using json module.srt - 10.86 KB
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7. Multiple JSON Documents in files.srt - 10.73 KB
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8. Process JSON using Pandas.srt - 9.14 KB
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4. Create JSON String.srt - 9.04 KB
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12. Write to JSON files using pandas.srt - 8.29 KB
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2. Overview of JSON.srt - 5.31 KB
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3. JSON Data Types.srt - 3.2 KB
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1. Processing JSON Data - Introduction.srt - 3.04 KB
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42. Introduction to Hadoop eco system - Overview of HDFS
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4. Copying files from local to HDFS.mp4 - 102.57 MB
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3. Managing HDFS Directories.mp4 - 93.79 MB
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12. HDFS File Permissions.mp4 - 68.92 MB
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6. Getting Files Metadata.mp4 - 66.85 MB
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9. HDFS Replication Factor.mp4 - 57.52 MB
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13. Overriding Properties.mp4 - 42.7 MB
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2. Listing HDFS Files.mp4 - 41.48 MB
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5. Copying files from HDFS to local.mp4 - 40.85 MB
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8. HDFS Block Size.mp4 - 40.64 MB
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7. Previewing Data in HDFS Files.mp4 - 36.65 MB
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1. Getting help or usage.mp4 - 34.51 MB
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10. Getting HDFS Storage Usage.mp4 - 15.04 MB
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11. USing HDFS Stat Commands.mp4 - 10.79 MB
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4. Copying files from local to HDFS.srt - 18.68 KB
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3. Managing HDFS Directories.srt - 17.71 KB
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12. HDFS File Permissions.srt - 13.46 KB
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6. Getting Files Metadata.srt - 11.75 KB
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9. HDFS Replication Factor.srt - 11.39 KB
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7. Previewing Data in HDFS Files.srt - 9.48 KB
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13. Overriding Properties.srt - 9.3 KB
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5. Copying files from HDFS to local.srt - 8.56 KB
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8. HDFS Block Size.srt - 7.45 KB
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1. Getting help or usage.srt - 6 KB
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2. Listing HDFS Files.srt - 5.75 KB
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10. Getting HDFS Storage Usage.srt - 3.49 KB
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11. USing HDFS Stat Commands.srt - 2.29 KB
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4.1 Copying files from local to HDFS.html - 152 B
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5.1 Copying files from HDFS local.html - 152 B
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7.1 Previewing Data in HDFS Files.html - 149 B
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10.1 Getting HDFS Storage Usage.html - 146 B
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3.1 Managing HDFS Directories.html - 145 B
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11.1 Using HDFS Stat Commands.html - 143 B
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9.1 HDFS Replication Factor.html - 143 B
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1.1 Getting help or usage.html - 141 B
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12.1 HDFS File Permissions.html - 141 B
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13.1 Overriding Properties.html - 141 B
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6.1 Getting Files Metadata.html - 141 B
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2.1 Listing HDFS Files.html - 138 B
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8.1 HDFS Block Size.html - 134 B
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20. Programming Essentials using Python - Manipulating Collections using loops
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14. Joining Data Sets.mp4 - 102.56 MB
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12. Get Revenue Details per Order.mp4 - 99.79 MB
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9. Performing Total Aggregations.mp4 - 96.86 MB
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6. Filtering Data.mp4 - 85.42 MB
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4. Row Level Transformations.mp4 - 85.19 MB
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5. Getting Unique Elements.mp4 - 64.73 MB
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11. Get Order Count by Status.mp4 - 50.02 MB
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20. Exercises - Manipulating Collections using loops.mp4 - 49.95 MB
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16. List Comprehensions using Python.mp4 - 44.71 MB
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8. Quick recap of dict operations.mp4 - 39.07 MB
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7. Preparing Data Sets.mp4 - 37.58 MB
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19. Limitations of using loops.mp4 - 36.33 MB
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18. Dict Comprehensions in Python.mp4 - 30.66 MB
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13. Get Order Count by Month.mp4 - 27.67 MB
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2. Reading Files into Collections.mp4 - 26.75 MB
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3. Overview of Standard Transformations.mp4 - 26.39 MB
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17. Set Comprehensions using Python.mp4 - 19 MB
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1. Manipulating Collections using loops - Introduction.mp4 - 14.3 MB
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10. Overview of Grouped Aggregations.mp4 - 13.43 MB
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15. Manipulate Collections using Comprehensions.mp4 - 6.25 MB
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12. Get Revenue Details per Order.srt - 24.31 KB
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9. Performing Total Aggregations.srt - 23.29 KB
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4. Row Level Transformations.srt - 21.26 KB
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14. Joining Data Sets.srt - 19.42 KB
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6. Filtering Data.srt - 17.11 KB
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5. Getting Unique Elements.srt - 16.69 KB
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11. Get Order Count by Status.srt - 15.5 KB
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20. Exercises - Manipulating Collections using loops.srt - 12.57 KB
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16. List Comprehensions using Python.srt - 11.36 KB
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18. Dict Comprehensions in Python.srt - 8.7 KB
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13. Get Order Count by Month.srt - 8.27 KB
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8. Quick recap of dict operations.srt - 8.09 KB
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19. Limitations of using loops.srt - 7.76 KB
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7. Preparing Data Sets.srt - 7.39 KB
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2. Reading Files into Collections.srt - 6.76 KB
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3. Overview of Standard Transformations.srt - 6.19 KB
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17. Set Comprehensions using Python.srt - 5.66 KB
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1. Manipulating Collections using loops - Introduction.srt - 4.39 KB
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10. Overview of Grouped Aggregations.srt - 4.02 KB
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15. Manipulate Collections using Comprehensions.srt - 1.89 KB
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3.1 Overview of Standard Transformations.html - 174 B
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2.1 Reading files into collections.html - 168 B
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8.1 Quick Recap of Dict Operations.html - 168 B
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9.1 Performing Total Aggregations.html - 167 B
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19.1 Limitations of using Loops.html - 164 B
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4.1 Row level transformations.html - 163 B
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5.1 Getting unique elements.html - 161 B
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7.1 Preparing Data Sets.html - 157 B
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14.1 Joining Data Sets.html - 155 B
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6.1 Filtering Data.html - 152 B
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11. Database Essentials - Predefined Functions
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4. Extracting Data - Using substr and split_part.mp4 - 101.89 MB
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13. Using to_char and to_date.mp4 - 74.11 MB
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19. Using CASE and WHEN.mp4 - 45.58 MB
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8. String Replacement.mp4 - 45.57 MB
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1. Overview of Functions.mp4 - 41.4 MB
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16. Overview of Numeric Functions.mp4 - 40.38 MB
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11. Date Arithmetic.mp4 - 37.76 MB
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6. Trimming and Padding Functions.mp4 - 36 MB
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5. Using position or strpos.mp4 - 33.59 MB
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12. Beginning Date or Time using date_trunc.mp4 - 28.04 MB
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18. Handling NULL Values.mp4 - 26.74 MB
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3. Case Conversion and Length.mp4 - 26.6 MB
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17. Data Type Conversion.mp4 - 23.29 MB
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10. Getting Current Date or Timestamp.mp4 - 22.45 MB
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14. Extracting Information using extract.mp4 - 21.79 MB
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7. Reverse and Concatenate Multiple Strings.mp4 - 19.88 MB
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15. Dealing with Unix Timestamp or epoch.mp4 - 17.31 MB
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9. Date Manipulation Functions.mp4 - 12.15 MB
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2. String Manipulation Functions.mp4 - 7.81 MB
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4. Extracting Data - Using substr and split_part.srt - 20.63 KB
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13. Using to_char and to_date.srt - 14.97 KB
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16. Overview of Numeric Functions.srt - 10.23 KB
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8. String Replacement.srt - 10.01 KB
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19. Using CASE and WHEN.srt - 9.11 KB
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11. Date Arithmetic.srt - 7.86 KB
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1. Overview of Functions.srt - 7.65 KB
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6. Trimming and Padding Functions.srt - 7.61 KB
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5. Using position or strpos.srt - 6.74 KB
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18. Handling NULL Values.srt - 6.1 KB
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12. Beginning Date or Time using date_trunc.srt - 5.88 KB
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3. Case Conversion and Length.srt - 5.55 KB
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17. Data Type Conversion.srt - 5.35 KB
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10. Getting Current Date or Timestamp.srt - 5.03 KB
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14. Extracting Information using extract.srt - 4.81 KB
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7. Reverse and Concatenate Multiple Strings.srt - 4.43 KB
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15. Dealing with Unix Timestamp or epoch.srt - 4.31 KB
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9. Date Manipulation Functions.srt - 2.96 KB
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2. String Manipulation Functions.srt - 2.07 KB
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1.1 Overview of Pre-Defined Functions.html - 158 B
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16.1 Overview of Numeric Functions.html - 155 B
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2.1 String Manipulation Functions.html - 155 B
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9.1 Date Manipulation Functions.html - 153 B
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17.1 Data Type Conversion.html - 146 B
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18.1 Handling NULL Values.html - 146 B
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19.1 Using CASE and WHEN.html - 145 B
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25. Programming Essentials using Python - Overview of Pandas Libraries
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11. Joining Data Frames.mp4 - 94.61 MB
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5. Data Frames - Basic Operations.mp4 - 91.93 MB
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8. Performing Total Aggregations.mp4 - 80.1 MB
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9. Performing Grouped Aggregations.mp4 - 76.57 MB
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7. Projecting and Filtering.mp4 - 76.41 MB
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10. Writing Data Frames to Files.mp4 - 75.74 MB
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6. CSV to Pandas Data Frames.mp4 - 49 MB
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2. Pandas Data Structures.mp4 - 41.64 MB
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3. Overview of series.mp4 - 25.52 MB
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4. Creating Data Frames from lists.mp4 - 23.85 MB
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1. Overview of Pandas Libraries.mp4 - 12.33 MB
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5. Data Frames - Basic Operations.srt - 26.2 KB
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8. Performing Total Aggregations.srt - 20.05 KB
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11. Joining Data Frames.srt - 18.5 KB
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9. Performing Grouped Aggregations.srt - 17.74 KB
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10. Writing Data Frames to Files.srt - 17.35 KB
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7. Projecting and Filtering.srt - 15.78 KB
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2. Pandas Data Structures.srt - 10.16 KB
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6. CSV to Pandas Data Frames.srt - 9.95 KB
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4. Creating Data Frames from lists.srt - 7.78 KB
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3. Overview of series.srt - 7.06 KB
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1. Overview of Pandas Libraries.srt - 3.94 KB
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2.1 Pandas Data Structures – Overview.html - 161 B
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4.1 Creating Data Frames from lists.html - 161 B
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9.1 Performing Grouped Aggregations.html - 161 B
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8.1 Performing Total Aggregations.html - 159 B
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10.1 Writing Data Frames to Files.html - 158 B
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5.1 Data Frames - Basic Operations.html - 158 B
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6.1 CSV to Pandas Data Frame.html - 154 B
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7.1 Projecting and Filtering.html - 154 B
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11.1 Joining Data Frames.html - 149 B
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3.1 Overview of Series.html - 148 B
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17. Programming Essentials using Python - User Defined Functions
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8. Recap of User Defined Functions.mp4 - 91.95 MB
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11. Usage of Lambda Functions.mp4 - 79.27 MB
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5. Function Parameters and Arguments.mp4 - 56.47 MB
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6. Varying Arguments.mp4 - 41.4 MB
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9. Passing Functions as Arguments.mp4 - 35.79 MB
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10. Lambda Functions.mp4 - 27.17 MB
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4. Returning Variables.mp4 - 21.86 MB
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2. Defining Functions.mp4 - 20.29 MB
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3. Doc Strings.mp4 - 19.86 MB
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7. Keyword Arguments.mp4 - 17.28 MB
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12. Exercise - User Defined Functions.mp4 - 12.18 MB
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1. User Defined Functions - Introduction.mp4 - 7.34 MB
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8. Recap of User Defined Functions.srt - 15.96 KB
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11. Usage of Lambda Functions.srt - 11.45 KB
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9. Passing Functions as Arguments.srt - 9.34 KB
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5. Function Parameters and Arguments.srt - 9.27 KB
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10. Lambda Functions.srt - 6.71 KB
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6. Varying Arguments.srt - 6.55 KB
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4. Returning Variables.srt - 4.76 KB
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2. Defining Functions.srt - 4.41 KB
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3. Doc Strings.srt - 3.46 KB
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12. Exercise - User Defined Functions.srt - 2.96 KB
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7. Keyword Arguments.srt - 2.9 KB
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1. User Defined Functions - Introduction.srt - 2.11 KB
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5.1 Function Parameters and Arguments.html - 157 B
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12.1 Exercise - User Defined Functions.html - 155 B
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8.1 Recap of User Defined Functions.html - 155 B
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9.1 Passing Functions as Arguments.html - 154 B
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11.1 Usage of Lambda Functions.html - 149 B
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1.1 User Defined Functions.html - 146 B
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2.1 Defining Functions.html - 142 B
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6.1 Varying Arguments.html - 141 B
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7.1 Keyword Arguments.html - 141 B
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10.1 Lambda Functions.html - 140 B
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4.1 Returning Values.html - 140 B
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3.1 Doc Strings.html - 135 B
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12. Database Essentials - Writing Advanced SQL Queries
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5. Advanced DML Operations.mp4 - 87.46 MB
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11. Analytic Functions - Windowing.mp4 - 82.29 MB
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12. Analytic Functions - Ranking.mp4 - 72.65 MB
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9. Analytic Functions - Aggregations.mp4 - 66.35 MB
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13. Analytic Functions - Filtering.mp4 - 58.87 MB
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6. Merging or Upserting Data.mp4 - 55.67 MB
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4. CTAS - Create Table As Select.mp4 - 52.14 MB
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10. Cumulative or Moving Aggregations.mp4 - 51.16 MB
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1. Overview of Views.mp4 - 46.75 MB
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3. Overview of Sub Queries.mp4 - 41.45 MB
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8. Overview of Analytic Functions.mp4 - 38.17 MB
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2. Overview of Named Queries.mp4 - 27.4 MB
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14. Ranking and Filtering - Recap.mp4 - 19.18 MB
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7. Pivoting Rows into Columns.mp4 - 8.07 MB
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12. Analytic Functions - Ranking.srt - 19.69 KB
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5. Advanced DML Operations.srt - 18.57 KB
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11. Analytic Functions - Windowing.srt - 18.41 KB
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13. Analytic Functions - Filtering.srt - 16.05 KB
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9. Analytic Functions - Aggregations.srt - 13.26 KB
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6. Merging or Upserting Data.srt - 12.24 KB
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4. CTAS - Create Table As Select.srt - 11.63 KB
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10. Cumulative or Moving Aggregations.srt - 10.84 KB
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3. Overview of Sub Queries.srt - 10.42 KB
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1. Overview of Views.srt - 10.11 KB
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8. Overview of Analytic Functions.srt - 7.34 KB
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2. Overview of Named Queries.srt - 5.97 KB
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14. Ranking and Filtering - Recap.srt - 4.85 KB
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7. Pivoting Rows into Columns.srt - 1.86 KB
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10.1 Cumulative or Moving Aggregations.html - 167 B
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2.1 Named Queries - Using WITH Clause.html - 165 B
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9.1 Analytic Functions – Aggregations.html - 165 B
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8.1 Overview of Analytic Functions.html - 164 B
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11.1 Analytic Functions – Windowing.html - 162 B
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13.1 Analytic Functions - Filtering.html - 161 B
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14.1 Ranking and Filtering - Recap.html - 161 B
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12.1 Analytic Functions – Ranking.html - 160 B
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7.1 Pivoting Rows into Columns.html - 160 B
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6.1 Merging or Upserting Data.html - 159 B
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3.1 Overview of Sub Queries.html - 157 B
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5.1 Advanced DML Operations.html - 157 B
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4.1 CTAS - Create Table as Select.html - 156 B
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1.1 Overview of Views.html - 151 B
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14. Programming Essentials using Python - Getting Started with Python
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8. Leveraging Google Colab.mp4 - 85.66 MB
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2. Overview of Anaconda.mp4 - 66.29 MB
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3. Python CLI and Jupyter Notebook.mp4 - 55.59 MB
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1. Installing Python on Windows.mp4 - 48.48 MB
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5. Using IDEs - Pycharm.mp4 - 42.97 MB
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7. Using ITVersity Labs.mp4 - 41.07 MB
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4. Overview of Jupyter Lab.mp4 - 38.25 MB
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6. Using Visual Studio Code.mp4 - 30.52 MB
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8. Leveraging Google Colab.srt - 23.04 KB
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2. Overview of Anaconda.srt - 22.25 KB
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4. Overview of Jupyter Lab.srt - 16.27 KB
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1. Installing Python on Windows.srt - 15.44 KB
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5. Using IDEs - Pycharm.srt - 14.77 KB
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7. Using ITVersity Labs.srt - 12 KB
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3. Python CLI and Jupyter Notebook.srt - 10.94 KB
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6. Using Visual Studio Code.srt - 10 KB
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3.1 Python CLI and Jupyter Notebook.html - 160 B
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6.1 Overview of Visual Studio Code.html - 159 B
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8.1 Leveraging Google’s Colab.html - 153 B
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4.1 Overview of Jupyter Lab.html - 152 B
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2.1 Overview of Anaconda.html - 149 B
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7.1 Using ITVersity Labs.html - 149 B
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5.1 Using IDEs – Pycharm.html - 147 B
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1.1 Installing Python.html - 146 B
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26. Programming Essentials using Python - Database Programming - CRUD Operations
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7. Inserting Data into Table.mp4 - 85.14 MB
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10. Querying Data From Table.mp4 - 70.15 MB
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4. Setup Database Client Libraries.mp4 - 58.59 MB
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3. Recap of RDBMS Concepts.mp4 - 47.81 MB
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6. Create Database Table.mp4 - 44.6 MB
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2. Overview of Database Programming.mp4 - 27.84 MB
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5. Function Get Database Connection.mp4 - 20.97 MB
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8. Updating Existing Table Data.mp4 - 20.03 MB
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9. Deleting Data From Table.mp4 - 14.74 MB
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1. Database Operations - CRUD Operations - Introduction.mp4 - 10.13 MB
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11. Recap - CRUD Operations.mp4 - 9.67 MB
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7. Inserting Data into Table.srt - 18.98 KB
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10. Querying Data From Table.srt - 16.49 KB
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4. Setup Database Client Libraries.srt - 14.32 KB
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6. Create Database Table.srt - 10.78 KB
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3. Recap of RDBMS Concepts.srt - 8.64 KB
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8. Updating Existing Table Data.srt - 5.97 KB
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2. Overview of Database Programming.srt - 5.7 KB
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5. Function Get Database Connection.srt - 5.26 KB
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9. Deleting Data From Table.srt - 4.37 KB
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11. Recap - CRUD Operations.srt - 3.54 KB
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1. Database Operations - CRUD Operations - Introduction.srt - 3.17 KB
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2.1 Overview of Database Programming.html - 170 B
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5.1 Function - Get Database Connection.html - 170 B
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4.1 Setup Database Client Libraries.html - 169 B
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8.1 Update Existing Table Data.html - 166 B
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7.1 Inserting Data into Table.html - 163 B
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10.1 Querying Data From Table.html - 162 B
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9.1 Deleting Data from Table.html - 162 B
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3.1 Recap of RDBMS Concepts.html - 161 B
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6.1 Creating Database Table.html - 161 B
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11.1 Recap - CRUD Operations.html - 159 B
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24. Programming Essentials using Python - Delimited Files and Collections
-
4. Read Delimited files into list of tuples.mp4 - 83.11 MB
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7. Read Delimited data using CSV.mp4 - 82.96 MB
-
10. Apply Schema on lists from files.mp4 - 78.09 MB
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5. Write Delimited Strings into files.mp4 - 72.05 MB
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2. Overview of Delimited Text Files.mp4 - 59.24 MB
-
3. Recap of basic file IO.mp4 - 58.53 MB
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8. Writing iterables to files using csv.mp4 - 58.08 MB
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6. Overview of CSV Module.mp4 - 51.34 MB
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9. Advantages of using csv module.mp4 - 10.12 MB
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1. Delimited Files and Collections.mp4 - 9.22 MB
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10. Apply Schema on lists from files.srt - 20.38 KB
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4. Read Delimited files into list of tuples.srt - 19.45 KB
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7. Read Delimited data using CSV.srt - 17.85 KB
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5. Write Delimited Strings into files.srt - 15.76 KB
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3. Recap of basic file IO.srt - 14.73 KB
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2. Overview of Delimited Text Files.srt - 14.38 KB
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8. Writing iterables to files using csv.srt - 14.05 KB
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6. Overview of CSV Module.srt - 13.05 KB
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1. Delimited Files and Collections.srt - 2.87 KB
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9. Advantages of using csv module.srt - 2.41 KB
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15. Programming Essentials using Python - Basic Programming Constructs
-
8. All about for loops.mp4 - 81.98 MB
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9. Running os commands.mp4 - 75.11 MB
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7. Conditionals.mp4 - 58.46 MB
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6. Tasks - Data Types and Operators.mp4 - 37.95 MB
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10. Exercises - Basic Programming Constructs.mp4 - 35.24 MB
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2. Getting Help.mp4 - 22.02 MB
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11. Dynamic Arithmetic Operations using eval and exec.mp4 - 16.38 MB
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5. Operators in Python.mp4 - 13.19 MB
-
3. Variables and Objects.mp4 - 10.44 MB
-
1. Basic Programming Constructs using Python - Introduction.mp4 - 8.67 MB
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4. Data Type - Commonly Used.mp4 - 8.49 MB
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8. All about for loops.srt - 25.33 KB
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7. Conditionals.srt - 19 KB
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9. Running os commands.srt - 15.18 KB
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10. Exercises - Basic Programming Constructs.srt - 12.16 KB
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6. Tasks - Data Types and Operators.srt - 10.71 KB
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2. Getting Help.srt - 6.21 KB
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11. Dynamic Arithmetic Operations using eval and exec.srt - 6.19 KB
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5. Operators in Python.srt - 4.42 KB
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1. Basic Programming Constructs using Python - Introduction.srt - 3.43 KB
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4. Data Type - Commonly Used.srt - 3.21 KB
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3. Variables and Objects.srt - 2.89 KB
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4.1 Data Types - Commonly used.html - 154 B
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3.1 Variables and Objects.html - 151 B
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5.1 Operators in Python.html - 149 B
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8.1 All about for Loops.html - 149 B
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9.1 Running OS Commands.html - 149 B
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2.1 Getting Help.html - 142 B
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7.1 Conditionals.html - 142 B
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44. Data Engineering using Spark SQL - Basic Transformations
-
9. Aggregation Data.mp4 - 81.3 MB
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6. Filtering Data.mp4 - 69.94 MB
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8. Joining Tables - Outer.mp4 - 56.2 MB
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7. Joining Tables - Inner.mp4 - 52.84 MB
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2. Spark SQL - Overview.mp4 - 42.5 MB
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4. Prepare Tables.mp4 - 34.15 MB
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10. Sorting Data.mp4 - 32.16 MB
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5. Projecting Data.mp4 - 30.08 MB
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11. Conclusion - Final Solution.mp4 - 23.39 MB
-
3. Define Problem Statement.mp4 - 19.57 MB
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1. Basic Transformations - Introduction.mp4 - 16.63 MB
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9. Aggregation Data.srt - 15.97 KB
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6. Filtering Data.srt - 15.36 KB
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8. Joining Tables - Outer.srt - 11.04 KB
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7. Joining Tables - Inner.srt - 10.89 KB
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2. Spark SQL - Overview.srt - 9.86 KB
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4. Prepare Tables.srt - 7.44 KB
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10. Sorting Data.srt - 7.15 KB
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11. Conclusion - Final Solution.srt - 6.19 KB
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5. Projecting Data.srt - 5.7 KB
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3. Define Problem Statement.srt - 5.37 KB
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1. Basic Transformations - Introduction.srt - 4.96 KB
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11.1 Conclusion - Final Solution.html - 150 B
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3.1 Define Problem Statement.html - 149 B
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1.1 Basic Transformations.html - 146 B
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7.1 Joining Tables - Inner.html - 145 B
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8.1 Joining Tables - Outer.html - 145 B
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2.1 Spark SQL – Overview.html - 143 B
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4.1 Preparing Tables.html - 141 B
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9.1 Aggregating Data.html - 141 B
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5.1 Projecting Data.html - 140 B
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6.1 Filtering Data.html - 139 B
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10.1 Sorting Data.html - 137 B
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38. Data Copier - Using custom Docker Image
-
4. Copying Source Code to Docker Custom Image.mp4 - 80.98 MB
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8. Passing Environment Variables to Docker Container.mp4 - 68.38 MB
-
10. Run application using Docker.mp4 - 60.25 MB
-
9. Add Data Copier Container to custom network.mp4 - 42.45 MB
-
3. Install OS Modules in custom docker image.mp4 - 38.02 MB
-
2. Getting started with docker custom image.mp4 - 37.18 MB
-
7. Mounting Data Folders on to Docker Container.mp4 - 34.69 MB
-
5. Adding dependencies to the custom image.mp4 - 28.83 MB
-
6. Understanding docker custom image build process.mp4 - 28.21 MB
-
1. Using Custom Docker Image - Introduction.mp4 - 4.99 MB
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4. Copying Source Code to Docker Custom Image.srt - 14 KB
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8. Passing Environment Variables to Docker Container.srt - 9.94 KB
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10. Run application using Docker.srt - 9.29 KB
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2. Getting started with docker custom image.srt - 8 KB
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3. Install OS Modules in custom docker image.srt - 7.45 KB
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7. Mounting Data Folders on to Docker Container.srt - 6.65 KB
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9. Add Data Copier Container to custom network.srt - 6.52 KB
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5. Adding dependencies to the custom image.srt - 5.04 KB
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6. Understanding docker custom image build process.srt - 4.54 KB
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1. Using Custom Docker Image - Introduction.srt - 924 B
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3. Setting up Environment - Overview of GCP and Provision Ubuntu VM
-
7. Setup Jupyter Lab.mp4 - 78.91 MB
-
5. Setup Docker.mp4 - 74.5 MB
-
4. Provision Ubuntu VM from GCP.mp4 - 53.55 MB
-
3. Overview of GCP Pricing.mp4 - 44.07 MB
-
6. Validating Python.mp4 - 34.31 MB
-
1. Signing up for GCP.mp4 - 23.59 MB
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2. Overview of GCP Web Console.mp4 - 14.24 MB
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7. Setup Jupyter Lab.srt - 16.14 KB
-
4. Provision Ubuntu VM from GCP.srt - 12.58 KB
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5. Setup Docker.srt - 12.21 KB
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3. Overview of GCP Pricing.srt - 9.24 KB
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6. Validating Python.srt - 5.83 KB
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1. Signing up for GCP.srt - 5.31 KB
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2. Overview of GCP Web Console.srt - 3.41 KB
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2.1 Understanding GCP Web Console.html - 157 B
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4.1 Provision Ubuntu 18.04 Virtual Machine.html - 153 B
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3.1 Overview of GCP Pricing.html - 151 B
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1.1 Signing up for GCP.html - 146 B
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6.1 Validating Python.html - 145 B
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7.1 Setup Jupyter Lab.html - 145 B
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5.1 Setup Docker.html - 140 B
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19
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8. List of Tuples.mp4 - 77.99 MB
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6. Manipulating dict.mp4 - 65.54 MB
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9. List of dicts.mp4 - 59.82 MB
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11. Processing dict items.mp4 - 36.52 MB
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7. Common Examples - dict.mp4 - 36.48 MB
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5. Accessing Elements - dict.mp4 - 35.94 MB
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2. Overview of dict and tuple.mp4 - 33.32 MB
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3. Common Operations - dict and tuple.mp4 - 25.86 MB
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4. Accessing Elements - tuples.mp4 - 25.5 MB
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12. Sorting dict items.mp4 - 21.63 MB
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10. Process dict values.mp4 - 19.96 MB
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13. Exercises - Overview of Collections - dict and set.mp4 - 15.75 MB
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1. Manipulating Collections using loops - Introduction.mp4 - 8.86 MB
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8. List of Tuples.srt - 16.56 KB
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6. Manipulating dict.srt - 15.9 KB
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9. List of dicts.srt - 11.58 KB
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11. Processing dict items.srt - 10.73 KB
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5. Accessing Elements - dict.srt - 8.08 KB
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2. Overview of dict and tuple.srt - 7.74 KB
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3. Common Operations - dict and tuple.srt - 7.53 KB
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10. Process dict values.srt - 6.8 KB
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7. Common Examples - dict.srt - 6.46 KB
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12. Sorting dict items.srt - 6.09 KB
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4. Accessing Elements - tuples.srt - 5.07 KB
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13. Exercises - Overview of Collections - dict and set.srt - 4.96 KB
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1. Manipulating Collections using loops - Introduction.srt - 2.99 KB
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2.1 Overview of dict and tuple.html - 166 B
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4.1 Accessing Elements - tuples.html - 165 B
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5.1 Accessing Elements - dict.html - 163 B
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7.1 Common Examples - dict.html - 160 B
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3.1 Common Operations.html - 157 B
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6.1 Manipulating dict.html - 157 B
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8.1 List of tuples.html - 154 B
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9.1 List of dicts.html - 153 B
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16. Programming Essentials using Python - Predefined Functions
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8. Date Manipulation Functions.mp4 - 76.62 MB
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5. String Manipulation Functions.mp4 - 47.86 MB
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7. Print and Input Functions.mp4 - 34 MB
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3. Numeric Functions.mp4 - 30.23 MB
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6. Formatting Strings.mp4 - 28.2 MB
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2. Overview of Predefined Functions.mp4 - 25.84 MB
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4. Overview of Strings.mp4 - 23.81 MB
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9. Exercises - Predefined Functions in Python.mp4 - 11.4 MB
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1. Predefined Functions - Introduction.mp4 - 6.84 MB
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8. Date Manipulation Functions.srt - 16.82 KB
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5. String Manipulation Functions.srt - 11.71 KB
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3. Numeric Functions.srt - 9.32 KB
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7. Print and Input Functions.srt - 7.33 KB
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4. Overview of Strings.srt - 7.2 KB
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6. Formatting Strings.srt - 6.77 KB
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2. Overview of Predefined Functions.srt - 5.49 KB
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9. Exercises - Predefined Functions in Python.srt - 3.69 KB
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1. Predefined Functions - Introduction.srt - 2.82 KB
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2.1 Overview of Pre-defined Functions.html - 156 B
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5.1 String Manipulation Functions.html - 152 B
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8.1 Date Manipulation Functions.html - 150 B
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7.1 Print and Input Functions.html - 148 B
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4.1 Overview of Strings.html - 142 B
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6.1 Formatting Strings.html - 141 B
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3.1 Numeric Functions.html - 140 B
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[Tutorialsplanet.NET].url - 128 B
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35. Data Copier - Loading Data from files to tables
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2. Populating Departments data into table.mp4 - 75.06 MB
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4. Populating orders table in chunks.mp4 - 73.78 MB
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6. Validate orders table using pandas.mp4 - 33.35 MB
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5. Validate orders table in database.mp4 - 26.08 MB
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3. Validate departments table.mp4 - 22.19 MB
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1. Loading Data from files to tables - Introduction.mp4 - 7.3 MB
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2. Populating Departments data into table.srt - 14.89 KB
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4. Populating orders table in chunks.srt - 13.91 KB
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6. Validate orders table using pandas.srt - 7.88 KB
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5. Validate orders table in database.srt - 5.92 KB
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3. Validate departments table.srt - 5.9 KB
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1. Loading Data from files to tables - Introduction.srt - 1.86 KB
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6.1 Validate orders table using Pandas.html - 184 B
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1.1 Loading Data from files to tables.html - 183 B
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5.1 Validate orders table in database.html - 183 B
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2.1 Populating departments table.html - 178 B
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3.1 Validate departments table.html - 176 B
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4.1 Populating orders table.html - 173 B
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[Tutorialsplanet.NET].url - 128 B
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39. Data Copier - Deploy and Validate Application on Remote Server
-
10. Run and Validate Dockerized Application.mp4 - 73.58 MB
-
7. Setup Docker Container for the Database.mp4 - 66.1 MB
-
8. Setup Database and Tables as part of Docker based Database Server.mp4 - 37.38 MB
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9. Building Custom Docker Image for application.mp4 - 34.42 MB
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6. Setup Network and Database Folder for Database using Docker.mp4 - 30.84 MB
-
3. Requirements to deploy application on Virtual Machine.mp4 - 28.67 MB
-
5. Setup Data Set for Validation.mp4 - 24.48 MB
-
4. Clone Application on remote machine.mp4 - 23.48 MB
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2. Push Application Changes to GitHub Repository.mp4 - 19.28 MB
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1. Deploy and Validate Application on Remote Server - Introduction.mp4 - 9.76 MB
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10. Run and Validate Dockerized Application.srt - 12.61 KB
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7. Setup Docker Container for the Database.srt - 9.86 KB
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8. Setup Database and Tables as part of Docker based Database Server.srt - 6.29 KB
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6. Setup Network and Database Folder for Database using Docker.srt - 5.96 KB
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3. Requirements to deploy application on Virtual Machine.srt - 5.76 KB
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9. Building Custom Docker Image for application.srt - 5.3 KB
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2. Push Application Changes to GitHub Repository.srt - 4.16 KB
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4. Clone Application on remote machine.srt - 3.53 KB
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5. Setup Data Set for Validation.srt - 3.36 KB
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1. Deploy and Validate Application on Remote Server - Introduction.srt - 2.88 KB
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10. Database Essentials - Partitioning Tables and Indexes
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7. Repartitioning - Range.mp4 - 73.35 MB
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3. Managing Partitions - List.mp4 - 52.59 MB
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9. Managing Partitions - Hash.mp4 - 46.43 MB
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6. Managing Partitions - Range.mp4 - 46.12 MB
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11. Sub Partitioning.mp4 - 41.98 MB
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4. Manipulating Data.mp4 - 30.79 MB
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10. Usage Scenarios.mp4 - 28.19 MB
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2. List Partitioning.mp4 - 27.93 MB
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8. Hash Partitioning.mp4 - 26.63 MB
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5. Range Partitioning.mp4 - 18.9 MB
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12. Exercise - Partitioned Tables.mp4 - 9.79 MB
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1. Overview of Partitioning.mp4 - 8.91 MB
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7. Repartitioning - Range.srt - 12.66 KB
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3. Managing Partitions - List.srt - 9.58 KB
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9. Managing Partitions - Hash.srt - 9.3 KB
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11. Sub Partitioning.srt - 8.98 KB
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6. Managing Partitions - Range.srt - 8.09 KB
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4. Manipulating Data.srt - 6.32 KB
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8. Hash Partitioning.srt - 6.08 KB
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2. List Partitioning.srt - 5.64 KB
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10. Usage Scenarios.srt - 5.09 KB
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5. Range Partitioning.srt - 3.78 KB
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12. Exercise - Partitioned Tables.srt - 2.69 KB
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1. Overview of Partitioning.srt - 2.24 KB
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12.1 Exercises - Partitioning Tables.html - 166 B
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6.1 Managing Partitions - Range.html - 162 B
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1.1 Overview of Partitioning.html - 161 B
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3.1 Managing Partitions - List.html - 161 B
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9.1 Managing Partitions - Hash.html - 161 B
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7.1 Repartitioning - Range.html - 157 B
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5.1 Range Partitioning.html - 155 B
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2.1 List Partitioning.html - 154 B
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4.1 Manipulating Data.html - 154 B
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8.1 Hash Partitioning.html - 154 B
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11.1 Sub Partitioning.html - 153 B
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10.1 Usage Scenarios.html - 152 B
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[Tutorialsplanet.NET].url - 128 B
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43. Data Engineering using Spark SQL - Getting Started
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4. Overview of Spark SQL Properties.mp4 - 70.11 MB
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7. Managing Spark Metastore Databases.mp4 - 65.63 MB
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11. Exercise - Getting Started with Spark SQL.mp4 - 58.18 MB
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6. Understanding Warehouse Directory.mp4 - 30.41 MB
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3. Launching and using Spark SQL CLI.mp4 - 29.4 MB
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10. Role of Spark Metastore or Hive Metastore.mp4 - 27.82 MB
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5. Running OS Commands using Spark SQL.mp4 - 24.13 MB
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2. Overview of Spark Documentation.mp4 - 20.83 MB
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8. Managing Spark Metastore Tables.mp4 - 17.51 MB
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9. Retrieve Metadata of Tables.mp4 - 15.25 MB
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1. Getting Started - Overview.mp4 - 9.76 MB
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7. Managing Spark Metastore Databases.srt - 14 KB
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4. Overview of Spark SQL Properties.srt - 12.86 KB
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11. Exercise - Getting Started with Spark SQL.srt - 12.56 KB
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10. Role of Spark Metastore or Hive Metastore.srt - 7.07 KB
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3. Launching and using Spark SQL CLI.srt - 6.03 KB
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6. Understanding Warehouse Directory.srt - 5.47 KB
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5. Running OS Commands using Spark SQL.srt - 4.88 KB
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8. Managing Spark Metastore Tables.srt - 4.63 KB
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2. Overview of Spark Documentation.srt - 3.96 KB
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9. Retrieve Metadata of Tables.srt - 3.27 KB
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1. Getting Started - Overview.srt - 2.84 KB
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7.1 Managing Spark Metastore Databases.html - 153 B
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6.1 Understanding Warehouse Directory.html - 152 B
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4.1 Overview of Spark SQL Properties.html - 151 B
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10.1 Role of Spark or Hive Metastore.html - 150 B
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2.1 Overview of Spark Documentation.html - 150 B
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8.1 Managing Spark Metastore Tables.html - 150 B
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9.1 Retrieve Metadata of Tables.html - 146 B
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3.1 Overview of Spark SQL CLI.html - 144 B
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11.1 Exercise - Getting Started with Spark SQL.html - 143 B
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5.1 Running OS Commands.html - 138 B
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1.1 Getting Started.html - 134 B
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22. Programming Essentials using Python - Understanding Map Reduce Libraries
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4. Row Level Transformations using map.mp4 - 70.09 MB
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14. Get revenue per order using itertools groupby.mp4 - 66.67 MB
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10. Cumulative Operations using itertools.mp4 - 48.63 MB
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6. Get Revenue for a given product id.mp4 - 46.66 MB
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2. Filtering Data using filter.mp4 - 43.77 MB
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5. Aggregations using reduce.mp4 - 43.16 MB
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8. Get total commission amount.mp4 - 37.68 MB
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3. Projecting data using map.mp4 - 36.87 MB
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12. Overview of itertools groupby.mp4 - 35.56 MB
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7. Get total items sold and revenue for a product.mp4 - 32.05 MB
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11. Using itertools starmap.mp4 - 31.09 MB
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9. Overview of itertools.mp4 - 30.78 MB
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13. Get order count by status using itertools groupby.mp4 - 25.53 MB
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1. Preparing Data Sets.mp4 - 18.14 MB
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15. Limitations of Map Reduce Libraries.mp4 - 12.92 MB
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16. Exercises - Understanding Map Reduce Libraries.mp4 - 11.57 MB
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4. Row Level Transformations using map.srt - 16.61 KB
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14. Get revenue per order using itertools groupby.srt - 15.42 KB
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10. Cumulative Operations using itertools.srt - 15.4 KB
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6. Get Revenue for a given product id.srt - 14.03 KB
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8. Get total commission amount.srt - 11.42 KB
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2. Filtering Data using filter.srt - 10.62 KB
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12. Overview of itertools groupby.srt - 10.34 KB
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7. Get total items sold and revenue for a product.srt - 10.21 KB
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5. Aggregations using reduce.srt - 9.79 KB
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3. Projecting data using map.srt - 9.38 KB
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11. Using itertools starmap.srt - 8.79 KB
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9. Overview of itertools.srt - 7.68 KB
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13. Get order count by status using itertools groupby.srt - 6.8 KB
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1. Preparing Data Sets.srt - 4.42 KB
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15. Limitations of Map Reduce Libraries.srt - 3.84 KB
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16. Exercises - Understanding Map Reduce Libraries.srt - 3.04 KB
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36. Data Copier - Modularizing the application
-
12. Validate logic for table list as run time argument.mp4 - 68.92 MB
-
5. Read logic using Pandas.mp4 - 65.73 MB
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8. Validate write logic.mp4 - 60.64 MB
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7. Write logic using Pandas.mp4 - 54.73 MB
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6. Validate read logic.mp4 - 53.43 MB
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3. Using os module for Environment Variables.mp4 - 50.37 MB
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10. Validate Integration logic.mp4 - 49.5 MB
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1. Overview of main function.mp4 - 38.65 MB
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9. Integrate read and write logic.mp4 - 36.37 MB
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11. Develop logic for multiple tables.mp4 - 34.6 MB
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13. Push changes to remote git repository.mp4 - 30.96 MB
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4. Passing Environment Variables using Pycharm.mp4 - 26.53 MB
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2. Overview of Environment Variables.mp4 - 25.39 MB
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5. Read logic using Pandas.srt - 12 KB
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12. Validate logic for table list as run time argument.srt - 11.7 KB
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8. Validate write logic.srt - 11.49 KB
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7. Write logic using Pandas.srt - 10.38 KB
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6. Validate read logic.srt - 9.17 KB
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10. Validate Integration logic.srt - 8.48 KB
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3. Using os module for Environment Variables.srt - 7.58 KB
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1. Overview of main function.srt - 7.17 KB
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9. Integrate read and write logic.srt - 6.42 KB
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13. Push changes to remote git repository.srt - 5.94 KB
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11. Develop logic for multiple tables.srt - 5.56 KB
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4. Passing Environment Variables using Pycharm.srt - 5.44 KB
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2. Overview of Environment Variables.srt - 5.01 KB
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4.1 Passing Environment Variables using Pycharm.html - 185 B
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3.1 Using os module for Environment Variables.html - 183 B
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2.1 Overview of Environment Variables.html - 175 B
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1.1 Overview of main function.html - 167 B
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5.1 Read logic using Pandas.html - 165 B
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41. Setup Hive and Spark on Single Node Cluster
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10. Validate Jupyter Lab Setup.mp4 - 67.88 MB
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8. Configure Spark 2.mp4 - 66.77 MB
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9. Validate Spark 2 using CLIs.mp4 - 66.22 MB
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14. Validate Spark 3 using CLIs.mp4 - 62.49 MB
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13. Configure Spark 3.mp4 - 58.91 MB
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4. Configure and Setup Hive Metastore.mp4 - 53.46 MB
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3. Setup Database for Hive Metastore.mp4 - 53.29 MB
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1. Setup Data Sets for Practice.mp4 - 38.95 MB
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11. Intergrate Spark 2 with Jupyter Lab.mp4 - 38.77 MB
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5. Launch and Validate Hive.mp4 - 36.08 MB
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7. Download and Install Spark 2.mp4 - 25.36 MB
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15. Intergrate Spark 3 with Jupyter Lab.mp4 - 25.31 MB
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6. Scripts to Manage Single Node Cluster.mp4 - 22.37 MB
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12. Download and Install Spark 3.mp4 - 14.65 MB
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2. Download and Install Hive.mp4 - 13.22 MB
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10. Validate Jupyter Lab Setup.srt - 15.12 KB
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8. Configure Spark 2.srt - 13.36 KB
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9. Validate Spark 2 using CLIs.srt - 12.52 KB
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14. Validate Spark 3 using CLIs.srt - 12.22 KB
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4. Configure and Setup Hive Metastore.srt - 11.37 KB
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3. Setup Database for Hive Metastore.srt - 11.16 KB
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13. Configure Spark 3.srt - 10.16 KB
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11. Intergrate Spark 2 with Jupyter Lab.srt - 9.5 KB
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5. Launch and Validate Hive.srt - 7.82 KB
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6. Scripts to Manage Single Node Cluster.srt - 7.57 KB
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1. Setup Data Sets for Practice.srt - 7.08 KB
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15. Intergrate Spark 3 with Jupyter Lab.srt - 6.58 KB
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7. Download and Install Spark 2.srt - 5.44 KB
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2. Download and Install Hive.srt - 3.45 KB
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12. Download and Install Spark 3.srt - 2.94 KB
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13. Programming Essentials using Python - Perform Database Operations
-
10. Example - Web Application.mp4 - 67.32 MB
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3. Create Database and Users Table.mp4 - 53.25 MB
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9. Example - Data Engineering.mp4 - 49.26 MB
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5. DML - Data Manipulation Language.mp4 - 41.93 MB
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4. DDL - Data Definition Language.mp4 - 40.96 MB
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6. DQL - Data Query Language.mp4 - 31.35 MB
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11. Exercise - Database Operations.mp4 - 18.74 MB
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2. Overview of SQL.mp4 - 14.55 MB
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7. CRUD Operations - DML and DQL.mp4 - 13.58 MB
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1. Introduction - Perform Database Operations.mp4 - 9.2 MB
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8. TCL - Transaction Control Language.mp4 - 8.55 MB
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3. Create Database and Users Table.srt - 11.25 KB
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10. Example - Web Application.srt - 10.16 KB
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9. Example - Data Engineering.srt - 8.91 KB
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4. DDL - Data Definition Language.srt - 7.38 KB
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5. DML - Data Manipulation Language.srt - 7.35 KB
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6. DQL - Data Query Language.srt - 6.35 KB
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2. Overview of SQL.srt - 3.91 KB
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11. Exercise - Database Operations.srt - 3.67 KB
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7. CRUD Operations - DML and DQL.srt - 3.28 KB
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1. Introduction - Perform Database Operations.srt - 2.82 KB
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8. TCL - Transaction Control Language.srt - 1.9 KB
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8.1 TCL - Transaction Control Language.html - 162 B
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3.1 Create Database and Users Table.html - 161 B
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5.1 DML - Data Manipulation Language.html - 160 B
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11.1 Exercise - Database Operations.html - 158 B
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4.1 DDL - Data Definition Language.html - 158 B
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7.1 CRUD Operations - DML and DQL.html - 157 B
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9.1 Example - Data Engineering.html - 154 B
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10.1 Example - Web Application.html - 153 B
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6.1 DQL - Data Query Language.html - 153 B
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2.1 Overview of SQL.html - 145 B
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34. Data Copier - Database Programming using Pandas
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8. Writing Pandas Dataframe to table.mp4 - 67.06 MB
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6. Reading data from table using Pandas.mp4 - 38.96 MB
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2. Validate Postgres Setup using Docker.mp4 - 25.61 MB
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7. Truncate users table.mp4 - 16.1 MB
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3. Add required dependencies for database programming using pandas.mp4 - 15.57 MB
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5. Populating Sample Data into users table.mp4 - 15.38 MB
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10. Drop users table.mp4 - 15.31 MB
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9. Validating users data.mp4 - 15.22 MB
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1. Database Programming using Pandas - Introduction.mp4 - 11.85 MB
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4. Create users table in retail_db Database.mp4 - 11.43 MB
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8. Writing Pandas Dataframe to table.srt - 12.83 KB
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6. Reading data from table using Pandas.srt - 8.21 KB
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2. Validate Postgres Setup using Docker.srt - 4.91 KB
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7. Truncate users table.srt - 4.15 KB
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10. Drop users table.srt - 4.04 KB
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5. Populating Sample Data into users table.srt - 3.76 KB
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3. Add required dependencies for database programming using pandas.srt - 3.75 KB
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9. Validating users data.srt - 3.45 KB
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1. Database Programming using Pandas - Introduction.srt - 2.67 KB
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4. Create users table in retail_db Database.srt - 2.62 KB
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4.1 Create users table in retail_db Database.html - 191 B
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5.1 Populating Sample Data into users table.html - 190 B
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2.1 Validate Postgres Setup using Docker.html - 187 B
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6.1 Reading data from table using Pandas.html - 187 B
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1.1 Database Programming using Pandas.html - 184 B
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8.1 Writing Pandas Dataframe to table.html - 184 B
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3.1 Add required dependencies.html - 176 B
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9.1 Validating users data.html - 172 B
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10.1 Dropping users table.html - 171 B
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7.1 Truncate users table.html - 171 B
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27
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5. Batch Loading of Data.mp4 - 64.83 MB
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4. Reading Data From File.mp4 - 34.25 MB
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3. Preparing Database.mp4 - 27.57 MB
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2. Recap of Insert.mp4 - 18.91 MB
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6. Best Practices Batch Loading.mp4 - 10.41 MB
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1. Database Programming - Batch Operations - Introduction.mp4 - 8.08 MB
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5. Batch Loading of Data.srt - 15.11 KB
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4. Reading Data From File.srt - 8.26 KB
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3. Preparing Database.srt - 7.14 KB
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6. Best Practices Batch Loading.srt - 3.71 KB
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2. Recap of Insert.srt - 3.61 KB
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1. Database Programming - Batch Operations - Introduction.srt - 2.75 KB
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4.1 Reading Data from File.html - 161 B
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3.1 Preparing Database.html - 157 B
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2.1 Recap of Insert.html - 154 B
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21. Programming Essentials using Python - Development of Map Reduce APIs
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4. Validate myMap Function.mp4 - 63.52 MB
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8. Validate myReduceByKey Function.mp4 - 60.7 MB
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10. Validate myJoin Function.mp4 - 46.88 MB
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2. Validate myFilter.mp4 - 45.69 MB
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11. Exercises - Development of Map Reduce APIs.mp4 - 41.98 MB
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1. Develop myFilter.mp4 - 38.67 MB
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3. Develop myMap Function.mp4 - 30.72 MB
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6. Validate myReduce Function.mp4 - 30.23 MB
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9. Develop myJoin Function.mp4 - 29.12 MB
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7. Develop myReduceByKey Function.mp4 - 25.71 MB
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5. Develop myReduce Function.mp4 - 21.1 MB
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8. Validate myReduceByKey Function.srt - 20.12 KB
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4. Validate myMap Function.srt - 15.58 KB
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10. Validate myJoin Function.srt - 14.26 KB
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9. Develop myJoin Function.srt - 10.5 KB
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11. Exercises - Development of Map Reduce APIs.srt - 10.4 KB
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2. Validate myFilter.srt - 10.2 KB
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1. Develop myFilter.srt - 9.71 KB
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7. Develop myReduceByKey Function.srt - 9.59 KB
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3. Develop myMap Function.srt - 9.46 KB
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6. Validate myReduce Function.srt - 8.41 KB
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5. Develop myReduce Function.srt - 6.91 KB
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37. Data Copier - Dockerizing the application
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6. Deploying application and installing dependencies in the docker container.mp4 - 62.48 MB
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11. Running Application from the Docker Container.mp4 - 51.82 MB
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4. Create and attach network to database container.mp4 - 51.74 MB
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3. Pull and validate appropriate python image.mp4 - 49.57 MB
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12. Delete Docker Container.mp4 - 37.58 MB
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5. Quick recap about Docker containers.mp4 - 27.74 MB
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8. Add Data Copier container to custom network.mp4 - 26.94 MB
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10. Validate Network Connectivity between Docker Containers.mp4 - 22.5 MB
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7. Copy source data files into container.mp4 - 22.47 MB
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9. Installing OS libraries as part of Docker container.mp4 - 15.34 MB
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2. Prepare Database for validation.mp4 - 14.99 MB
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1. Dockerizing the application - Introduction.mp4 - 4.85 MB
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4. Create and attach network to database container.srt - 10.08 KB
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11. Running Application from the Docker Container.srt - 9.6 KB
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6. Deploying application and installing dependencies in the docker container.srt - 9.29 KB
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3. Pull and validate appropriate python image.srt - 8.36 KB
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12. Delete Docker Container.srt - 7.75 KB
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5. Quick recap about Docker containers.srt - 7.39 KB
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8. Add Data Copier container to custom network.srt - 4.68 KB
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9. Installing OS libraries as part of Docker container.srt - 4.27 KB
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10. Validate Network Connectivity between Docker Containers.srt - 3.66 KB
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2. Prepare Database for validation.srt - 3.44 KB
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7. Copy source data files into container.srt - 3.32 KB
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1. Dockerizing the application - Introduction.srt - 1.32 KB
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18
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11. list and set - Usage.mp4 - 59.8 MB
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15. Sorting list of Delimited Strings.mp4 - 47.41 MB
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14. Sorting data in lists and tuples.mp4 - 36.66 MB
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16. Exercises - Sorting lists and sets.mp4 - 34.01 MB
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2. Overview of list and set.mp4 - 28.6 MB
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8. Adding and Deleting elements - set.mp4 - 27.01 MB
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13. List of Delimited Strings.mp4 - 26.73 MB
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4. Accessing elements from list.mp4 - 24.82 MB
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5. Adding elements to list.mp4 - 16.92 MB
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12. Exercises - Basic Operations on list and.mp4 - 15.66 MB
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7. Other list operations.mp4 - 15.19 MB
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6. Updating and Deleting elements -list.mp4 - 13.88 MB
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3. Common Operations.mp4 - 13.37 MB
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10. Validating sets.mp4 - 13.06 MB
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9. Typical set operations.mp4 - 11 MB
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1. Overview of Collections - list and set - Introduction.mp4 - 10.25 MB
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15. Sorting list of Delimited Strings.srt - 14.18 KB
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14. Sorting data in lists and tuples.srt - 11.82 KB
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11. list and set - Usage.srt - 11.34 KB
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13. List of Delimited Strings.srt - 7.76 KB
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16. Exercises - Sorting lists and sets.srt - 7.52 KB
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2. Overview of list and set.srt - 6.5 KB
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8. Adding and Deleting elements - set.srt - 6.28 KB
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4. Accessing elements from list.srt - 5.56 KB
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12. Exercises - Basic Operations on list and.srt - 5.36 KB
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5. Adding elements to list.srt - 4.08 KB
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3. Common Operations.srt - 3.9 KB
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1. Overview of Collections - list and set - Introduction.srt - 3.65 KB
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7. Other list operations.srt - 3.5 KB
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6. Updating and Deleting elements -list.srt - 3.44 KB
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10. Validating sets.srt - 3.26 KB
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9. Typical set operations.srt - 2.92 KB
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8.1 Adding and Deleting elements - set.html - 170 B
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4.1 Accessing Elements from list.html - 166 B
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2.1 Overview of list and set.html - 162 B
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5.1 Adding Elements to list.html - 161 B
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9.1 Typical set operations.html - 160 B
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7.1 Other list operations.html - 159 B
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11.1 list and set - Usage.html - 156 B
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3.1 Common Operations.html - 155 B
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10.1 Validating set.html - 152 B
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30. Understanding Python Virtual Environments
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15. Validate Python and Package Compatibility and Install Python 3.6.mp4 - 58.77 MB
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13. Install Dependencies for Data Engineering Application.mp4 - 52.53 MB
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3. Create Virtual Environment for Web Application.mp4 - 49.78 MB
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5. Installing Dependencies for Web Application using pip.mp4 - 45.57 MB
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11. Install Dependencies using requirements file for Web Application.mp4 - 43.8 MB
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7. Uninstall Packages using pip.mp4 - 27.07 MB
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12. Create Virtual Environment for Data Engineering Application.mp4 - 27.02 MB
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14. Install Dependencies for Data Engineering Application using Python 3.6.mp4 - 21.56 MB
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2. Validating Python Versions.mp4 - 18.71 MB
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16. Conclusion about understanding Python Virtual Environments.mp4 - 17.59 MB
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6. Getting Details about installed packages using pip.mp4 - 17.1 MB
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4. Reviewing dependencies installed in Virtual Environment.mp4 - 16.12 MB
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10. Define requirements file for Web Application.mp4 - 15.24 MB
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8. Cleanup Python Virtual Environment.mp4 - 14.5 MB
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9. Recreate and Activate Virtual Environment for Web Application.mp4 - 6.6 MB
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1. Introduction to Python Virtual Environments.mp4 - 1.8 MB
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3. Create Virtual Environment for Web Application.srt - 10.14 KB
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5. Installing Dependencies for Web Application using pip.srt - 10.08 KB
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15. Validate Python and Package Compatibility and Install Python 3.6.srt - 8.78 KB
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13. Install Dependencies for Data Engineering Application.srt - 6.88 KB
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11. Install Dependencies using requirements file for Web Application.srt - 5.29 KB
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10. Define requirements file for Web Application.srt - 5.07 KB
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7. Uninstall Packages using pip.srt - 4.96 KB
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2. Validating Python Versions.srt - 4.39 KB
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14. Install Dependencies for Data Engineering Application using Python 3.6.srt - 4.27 KB
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6. Getting Details about installed packages using pip.srt - 4.04 KB
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4. Reviewing dependencies installed in Virtual Environment.srt - 4.02 KB
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12. Create Virtual Environment for Data Engineering Application.srt - 3.93 KB
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16. Conclusion about understanding Python Virtual Environments.srt - 3.81 KB
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9. Recreate and Activate Virtual Environment for Web Application.srt - 3.79 KB
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8. Cleanup Python Virtual Environment.srt - 2.44 KB
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1. Introduction to Python Virtual Environments.srt - 1.08 KB
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[Tutorialsplanet.NET].url - 128 B
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1. Introduction about the course
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8. [Must Watch] Setting up Course Material.mp4 - 58.35 MB
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1. Introduction about course.mp4 - 38.1 MB
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5. Training Approach.mp4 - 36.72 MB
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3. Pre-requisites.mp4 - 32.13 MB
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9.1 airtrafficdata.zip - 29.36 MB
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6. Overview of Environments for Hands on Practice (Must Watch).mp4 - 21.23 MB
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2. Desired Audience.mp4 - 20.51 MB
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4. [Must Watch] 30 Day Money Back Guarantee - Feedback and Rating.mp4 - 6.04 MB
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7.1 data-engineering-essentials.zip - 5.62 MB
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8. [Must Watch] Setting up Course Material.srt - 11.97 KB
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1. Introduction about course.srt - 7.76 KB
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5. Training Approach.srt - 7.69 KB
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3. Pre-requisites.srt - 6.59 KB
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6. Overview of Environments for Hands on Practice (Must Watch).srt - 4.76 KB
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2. Desired Audience.srt - 4.7 KB
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4. [Must Watch] 30 Day Money Back Guarantee - Feedback and Rating.srt - 4.08 KB
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7. Free Download - Course Material.html - 2.16 KB
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9. How to access data sets used in this course.html - 812 B
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33. Data Copier - Reading Data using Pandas
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4. Reading JSON Data using Pandas.mp4 - 51.06 MB
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5. Previewing Data using Pandas.mp4 - 48.66 MB
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6. Reading Data in Chunks using Pandas.mp4 - 37.62 MB
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2. Overview of Retail Data.mp4 - 36.07 MB
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3. Adding Pandas to the project.mp4 - 31.76 MB
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7. Dynamically read files using os.mp4 - 28.43 MB
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1. Reading Data using Pandas - Introduction.mp4 - 9.82 MB
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5. Previewing Data using Pandas.srt - 14.49 KB
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6. Reading Data in Chunks using Pandas.srt - 11.58 KB
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4. Reading JSON Data using Pandas.srt - 9.63 KB
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7. Dynamically read files using os.srt - 8.92 KB
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3. Adding Pandas to the project.srt - 7.08 KB
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2. Overview of Retail Data.srt - 5.83 KB
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1. Reading Data using Pandas - Introduction.srt - 2.91 KB
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6.1 Reading Data in Chunks using Pandas.html - 189 B
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3.1 Adding Pandas to the project.html - 182 B
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5.1 Previewing Data using Pandas.html - 182 B
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4.1 Reading JSON Data using Pandas.html - 179 B
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2.1 Overview of Retail Data.html - 177 B
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7.1 Dynamically read files using os.html - 176 B
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1.1 Reading Data using Pandas - Introduction.html - 166 B
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4. Networking Concepts for Beginners - ip addresses and port numbers
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3. Port Numbers associated with Applications or Services.mp4 - 50.95 MB
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13. Access Web Application using Private IP using SSH as proxy.mp4 - 42.94 MB
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9. Setup Web Application and access using local ip.mp4 - 42.18 MB
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5. Setup Apache2 on Ubuntu.mp4 - 41.46 MB
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8. Overview of Public IP Address associated with a server.mp4 - 38.06 MB
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7. Overview of Private IP Address associated with a server.mp4 - 30.25 MB
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10. Setup Web Application and access using private ip.mp4 - 30.23 MB
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11. Disable Access to Web Application using Public ip.mp4 - 25.03 MB
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2. Different IP Address Types.mp4 - 21.7 MB
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4. Reverting port for SSH to default port number.mp4 - 21.16 MB
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6. Overview of localhost.mp4 - 15.94 MB
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1. Enable telnet on Windows.mp4 - 14 MB
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12. Install sshuttle on Mac using brew.mp4 - 10.78 MB
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3. Port Numbers associated with Applications or Services.srt - 12.11 KB
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5. Setup Apache2 on Ubuntu.srt - 10.06 KB
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13. Access Web Application using Private IP using SSH as proxy.srt - 9.15 KB
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9. Setup Web Application and access using local ip.srt - 7.62 KB
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8. Overview of Public IP Address associated with a server.srt - 7.43 KB
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10. Setup Web Application and access using private ip.srt - 5.63 KB
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7. Overview of Private IP Address associated with a server.srt - 5.63 KB
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11. Disable Access to Web Application using Public ip.srt - 5.23 KB
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1. Enable telnet on Windows.srt - 4.97 KB
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2. Different IP Address Types.srt - 4.87 KB
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6. Overview of localhost.srt - 4.73 KB
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12. Install sshuttle on Mac using brew.srt - 4.63 KB
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4. Reverting port for SSH to default port number.srt - 4.01 KB
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2. Setting up Environment using AWS Cloud9
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9. Setup Jupyter Lab on Cloud9.mp4 - 47.58 MB
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7. Associating Elastic IPs to Cloud9 Instance.mp4 - 36.23 MB
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2. Creating Cloud9 Environment.mp4 - 33.91 MB
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1. Getting Started with Cloud9.mp4 - 23.23 MB
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6. Opening ports for Cloud9 Instance.mp4 - 22.7 MB
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8. Increase EBS Volume Size of Cloud9 Instance.mp4 - 21.15 MB
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3. Warming up with Cloud9 IDE.mp4 - 20.99 MB
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5. Overview of EC2 related to Cloud9.mp4 - 10.37 MB
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4. Details about material to setup postgres database using docker.mp4 - 9.92 MB
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9. Setup Jupyter Lab on Cloud9.srt - 11.07 KB
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2. Creating Cloud9 Environment.srt - 7.66 KB
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7. Associating Elastic IPs to Cloud9 Instance.srt - 6.61 KB
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3. Warming up with Cloud9 IDE.srt - 5.58 KB
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8. Increase EBS Volume Size of Cloud9 Instance.srt - 5.51 KB
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6. Opening ports for Cloud9 Instance.srt - 5.05 KB
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1. Getting Started with Cloud9.srt - 4.83 KB
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4. Details about material to setup postgres database using docker.srt - 2.8 KB
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5. Overview of EC2 related to Cloud9.srt - 2.53 KB
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10. [Commands] Setup Jupyter Lab on Cloud9.html - 615 B
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[Tutorialsplanet.NET].url - 128 B
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40. Setup Hadoop on Single Node Cluster
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5. Configure Hadoop HDFS.mp4 - 47.35 MB
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6. Start and Validate HDFS.mp4 - 46.12 MB
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2. Setup Prerequisties.mp4 - 31.43 MB
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4. Download and Install Hadoop.mp4 - 30.56 MB
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9. Managing Single Node Hadoop.mp4 - 20.23 MB
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3. Setup Password less login.mp4 - 17.24 MB
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1. Introduction to Single Node Hadoop Cluster.mp4 - 16.4 MB
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8. Start and Validate YARN.mp4 - 14.29 MB
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7. Configure Hadoop YARN.mp4 - 7.72 MB
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5. Configure Hadoop HDFS.srt - 10.79 KB
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6. Start and Validate HDFS.srt - 9.8 KB
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2. Setup Prerequisties.srt - 8.18 KB
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4. Download and Install Hadoop.srt - 7 KB
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9. Managing Single Node Hadoop.srt - 6.68 KB
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3. Setup Password less login.srt - 5.97 KB
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1. Introduction to Single Node Hadoop Cluster.srt - 4.88 KB
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8. Start and Validate YARN.srt - 3.09 KB
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7. Configure Hadoop YARN.srt - 1.91 KB
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[Tutorialsplanet.NET].url - 128 B
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31. Overview of Pycharm for Python Application Development
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4. Setup Getting Started Project using Pycharm.mp4 - 30.22 MB
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10. Overview of Pycharm Integrated Terminal.mp4 - 25.38 MB
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12. Overview of Run Time Arguments for Python Applications.mp4 - 21.48 MB
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3. Installation of Pycharm on Mac.mp4 - 20.65 MB
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13. Passing Run Time Arguments using Pycharm.mp4 - 20.45 MB
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2. Installation of Pycharm on Windows.mp4 - 18.36 MB
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6. Setup de-demo project using Pycharm.mp4 - 15.4 MB
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8. Accessing Setting in Pycharm and Changing Font Size on Mac.mp4 - 13.89 MB
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9. Install Python Packages using Pycharm.mp4 - 13.58 MB
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5. Setup Getting Started Project using Pycharm on Mac.mp4 - 12.8 MB
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11. Overview of Pycharm Integrated Terminal on Mac.mp4 - 12.26 MB
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7. Accessing Setting in Pycharm and Changing Font Size.mp4 - 9.01 MB
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1. Introduction to Pycharm for Python Application Development.mp4 - 4.28 MB
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4. Setup Getting Started Project using Pycharm.srt - 9.08 KB
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10. Overview of Pycharm Integrated Terminal.srt - 8.18 KB
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12. Overview of Run Time Arguments for Python Applications.srt - 6.64 KB
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13. Passing Run Time Arguments using Pycharm.srt - 6.13 KB
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5. Setup Getting Started Project using Pycharm on Mac.srt - 5.88 KB
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11. Overview of Pycharm Integrated Terminal on Mac.srt - 5.85 KB
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3. Installation of Pycharm on Mac.srt - 5.84 KB
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6. Setup de-demo project using Pycharm.srt - 5.52 KB
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9. Install Python Packages using Pycharm.srt - 5.16 KB
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2. Installation of Pycharm on Windows.srt - 4.51 KB
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8. Accessing Setting in Pycharm and Changing Font Size on Mac.srt - 4.02 KB
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7. Accessing Setting in Pycharm and Changing Font Size.srt - 2.94 KB
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1. Introduction to Pycharm for Python Application Development.srt - 2.31 KB
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45. Data Engineering using Spark SQL - Managing Tables - Basic DDL and DML
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1. Introduction.mp4 - 20.06 MB
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1. Introduction.srt - 4.16 KB
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1.1 Basic DDL and DML - Introduction.html - 138 B
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[Tutorialsplanet.NET].url - 128 B
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[Tutorialsplanet.NET].url - 128 B
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| Trackers | Seeders | Leechers | Downloads |
|---|---|---|---|
| udp://tracker.opentrackr.org:1337/announce | 1 | 4 | 1 |
| udp://tracker.torrent.eu.org:451/announce | 2 | 25 | 3 |
| udp://open.stealth.si:80/announce | 1 | 1 | 1 |
| udp://exodus.desync.com:6969/announce | 1 | 3 | 1 |
InfoHash:
DF80D0FB7CF736A58E83D90936C820B812B9EE57
Last updated:
Feb 16, 2022
File count:
1.09 KB
File Category:
9
Tags:
Other, Tutorials