O'Reilly - Building Data Pipelines with Python

1. 27. Advanced Airflow Subdags And Branches.mp460.71MB
2. 18. Dask Bags.mp453.55MB
3. 19. Dask Distributed.mp451.96MB
4. 13. Scaling Your Workers.mp450.78MB
5. 26. Custom Tasks With Airflow.mp449.88MB
6. 28. Using Luigi With Hadoop.mp449.66MB
7. 31. Django Channels.mp447.9MB
8. 29. Apache Spark.mp447.17MB
9. 24. Introduction To Hadoop.mp443.04MB
10. 25. First Steps With Airflow.mp442.13MB
11. 23. More Complex Luigi Tasks.mp441.85MB
12. 17. First Steps With Dask.mp439.72MB
13. 22. First Steps With Luigi.mp439.26MB
14. 10. Celery Architecture & Set Up.mp436.44MB
15. 11. Writing Your First Tasks.mp436.13MB
16. 5. Adventures With Servers.mp436.09MB
17. 15. Advanced Celery Features.mp435.16MB
18. 12. Deploying Your Tasks.mp434.36MB
19. 6. Being A Good Systems Caretaker.mp430.84MB
20. 32. And Many More.mp430.48MB
21. 30. Apache Spark Streaming.mp426.16MB
22. 14. Monitoring With Flower.mp425.98MB
23. 33. Introduction To Testing With Python.mp425.11MB
24. 21. Luigi And Airflow A Comparison.mp422.56MB
25. 34. Property-Based Testing With Hypothesis.mp419.22MB
26. 16. Why Dask.mp416.23MB
27. 20. What Are Data Pipelines.mp413.47MB
28. 35. What's Next.mp413.28MB
29. 2. About The Author.mp410.98MB
30. 1. Welcome To The Course.mp49.06MB
31. 9. Why Celery.mp48.89MB
32. 4. Introduction To Automation.mp48.47MB
33. 3. How To Access Your Working Files.mp45.34MB
34. 7. What Is A Queue.mp43.71MB
35. 8. What Is A Consumer.mp43.18MB