[UdemyCourseDownloader] Building Data Pipelines with Python Understanding Pipeline Frameworks, Workflow Automation, and Python Toolset

1. 26 Advanced Airflow - Subdags And Branches.mp4 51.71 MB
2. 27 Using Luigi With Hadoop.mp4 46.90 MB
3. 17 Dask Bags.mp4 46.82 MB
4. 18 Dask Distributed.mp4 46.12 MB
5. 30 Django Channels.mp4 43.89 MB
6. 25 Custom Tasks With Airflow.mp4 42.14 MB
7. 12 Scaling Your Workers.mp4 40.62 MB
8. 22 More Complex Luigi Tasks.mp4 40.41 MB
9. 28 Apache Spark.mp4 38.68 MB
10. 16 First Steps With Dask.mp4 38.33 MB
11. 23 Introduction To Hadoop.mp4 37.91 MB
12. 24 First Steps With Airflow.mp4 36.83 MB
13. 10 Writing Your First Tasks.mp4 33.56 MB
14. 21 First Steps With Luigi.mp4 33.15 MB
15. 04 Adventures With Servers.mp4 30.24 MB
16. 11 Deploying Your Tasks.mp4 28.39 MB
17. 05 Being A Good Systems Caretaker.mp4 27.73 MB
18. 14 Advanced Celery Features.mp4 27.57 MB
19. 31 And Many More.mp4 27.36 MB
20. 29 Apache Spark Streaming.mp4 25.46 MB
21. 09 Celery Architecture & Set Up.mp4 24.94 MB
22. 13 Monitoring With Flower.mp4 23.04 MB
23. 20 Luigi And Airflow - A Comparison.mp4 21.04 MB
24. 32 Introduction To Testing With Python.mp4 20.53 MB
25. 33 Property-Based Testing With Hypothesis.mp4 17.02 MB
26. 15 Why Dask.mp4 13.81 MB
27. 34 What's Next.mp4 12.26 MB
28. 19 What Are Data Pipelines What Is Dag.mp4 9.72 MB
29. 01 Welcome To The Course.mp4 8.98 MB
30. 02 About The Author.mp4 8.82 MB
31. 08 Why Celery.mp4 8.05 MB
32. 03 Introduction To Automation.mp4 7.28 MB
33. 06 What Is A Queue.mp4 3.98 MB
34. 07 What Is A Consumer What Is A Producer.mp4 3.24 MB
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