Udemy - Google Dataflow with Apache Beam - Beginner to Pro course

Files:

• Get Bonus Downloads Here.url (0.2 KB)
~Get Your Files Here !
• 1 - Material and Datasets.html (0.1 KB)
• 1 -Course Introduction.mp4 (25.9 MB)
• 2 -What is Dataflow - Apache Beam Introduction - How it is different from Dataproc.mp4 (223.5 MB)
• 3 -Workbench Creation - Beam Basics - Extract data from Multiple Data Sources.mp4 (143.7 MB)
• 4 -How to write Data to Multiple Sinks.mp4 (358.5 MB)
• 6 -Pipeline Creation Template Method - Case study-1.mp4 (345.2 MB)
• 7 -Batch Pipeline Creation Custom code - Case Study-2.mp4 (333.7 MB)
• 8 -Streaming Pipeline Creation with Pubsub Custome code - Case study-3.mp4 (407.9 MB)
• Bonus Resources.txt (0.1 KB)
Lab-sessions
• Beam.ipynb (37.3 KB)
Streaming Pipeline
• Streami-Pipeline.ipynb (5.1 KB)
• run_command.txt (0.6 KB)
• stream_data_generator.py (1.0 KB)
Template Method
• sales.csv (0.2 KB)
• sales_schema.json (0.2 KB)
• Usecase2.ipynb (7.6 KB)
• Windowing.ipynb (10.4 KB)
sample_data
• department.txt (0.1 KB)
• employee_data.json (0.1 KB)
• employees.csv (0.4 KB)
• export_001.parquet (14.0 KB)
• orders.txt (0.1 KB)
• products.txt (0.1 KB)
• sales.csv (0.3 KB)
• sales_data.csv (0.3 KB)
• sales_transactions.txt (0.1 KB)
• sampleJsn.json (0.3 KB)
• sampledata.csv (0.2 KB)
• transactions.csv (0.3 KB)
• twitter.avro (0.5 KB)
• usedata.txt (0.2 KB)
• user_data.csv (0.3 KB)
• user_events.csv (0.3 KB)
• user_events_schema.json (0.3 KB)
• users.txt (0.1 KB)
• usecase1.ipynb (32.3 KB)