O'Reilly - Building Data Pipelines with Python

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