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

1. 26 Advanced Airflow - Subdags And Branches.mp450.5MB
2. 02 About The Author.mp48.61MB
3. 03 Introduction To Automation.mp47.11MB
4. 04 Adventures With Servers.mp429.53MB
5. 05 Being A Good Systems Caretaker.mp427.08MB
6. 06 What Is A Queue.mp43.89MB
7. 07 What Is A Consumer What Is A Producer.mp43.16MB
8. 08 Why Celery.mp47.86MB
9. 09 Celery Architecture & Set Up.mp424.36MB
10. 10 Writing Your First Tasks.mp432.78MB
11. 11 Deploying Your Tasks.mp427.73MB
12. 12 Scaling Your Workers.mp439.67MB
13. 13 Monitoring With Flower.mp422.5MB
14. 14 Advanced Celery Features.mp426.92MB
15. 15 Why Dask.mp413.48MB
16. 16 First Steps With Dask.mp437.43MB
17. 17 Dask Bags.mp445.72MB
18. 18 Dask Distributed.mp445.04MB
19. 19 What Are Data Pipelines What Is Dag.mp49.49MB
20. 20 Luigi And Airflow - A Comparison.mp420.55MB
21. 21 First Steps With Luigi.mp432.38MB
22. 22 More Complex Luigi Tasks.mp439.46MB
23. 23 Introduction To Hadoop.mp437.02MB
24. 24 First Steps With Airflow.mp435.96MB
25. 25 Custom Tasks With Airflow.mp441.15MB
26. 01 Welcome To The Course.mp48.77MB
27. 27 Using Luigi With Hadoop.mp445.8MB
28. 28 Apache Spark.mp437.78MB
29. 29 Apache Spark Streaming.mp424.87MB
30. 30 Django Channels.mp442.87MB
31. 31 And Many More.mp426.72MB
32. 32 Introduction To Testing With Python.mp420.05MB
33. 33 Property-Based Testing With Hypothesis.mp416.62MB
34. 34 What's Next.mp411.97MB