[UdemyCourseDownloader] Building Data Pipelines with Python Understanding Pipeline Frameworks, Workflow Automation, and Python Toolset
File List
- 26 Advanced Airflow - Subdags And Branches.mp4 50.5 MB
- 27 Using Luigi With Hadoop.mp4 45.8 MB
- 17 Dask Bags.mp4 45.7 MB
- 18 Dask Distributed.mp4 45.0 MB
- 30 Django Channels.mp4 42.9 MB
- 25 Custom Tasks With Airflow.mp4 41.2 MB
- 12 Scaling Your Workers.mp4 39.7 MB
- 22 More Complex Luigi Tasks.mp4 39.5 MB
- 28 Apache Spark.mp4 37.8 MB
- 16 First Steps With Dask.mp4 37.4 MB
- 23 Introduction To Hadoop.mp4 37.0 MB
- 24 First Steps With Airflow.mp4 36.0 MB
- 10 Writing Your First Tasks.mp4 32.8 MB
- 21 First Steps With Luigi.mp4 32.4 MB
- 04 Adventures With Servers.mp4 29.5 MB
- 11 Deploying Your Tasks.mp4 27.7 MB
- 05 Being A Good Systems Caretaker.mp4 27.1 MB
- 14 Advanced Celery Features.mp4 26.9 MB
- 31 And Many More.mp4 26.7 MB
- 29 Apache Spark Streaming.mp4 24.9 MB
- 09 Celery Architecture & Set Up.mp4 24.4 MB
- 13 Monitoring With Flower.mp4 22.5 MB
- 20 Luigi And Airflow - A Comparison.mp4 20.5 MB
- 32 Introduction To Testing With Python.mp4 20.1 MB
- 33 Property-Based Testing With Hypothesis.mp4 16.6 MB
- 15 Why Dask.mp4 13.5 MB
- 34 What's Next.mp4 12.0 MB
- 19 What Are Data Pipelines What Is Dag.mp4 9.5 MB
- 01 Welcome To The Course.mp4 8.8 MB
- 02 About The Author.mp4 8.6 MB
- 08 Why Celery.mp4 7.9 MB
- 03 Introduction To Automation.mp4 7.1 MB
- 06 What Is A Queue.mp4 3.9 MB
- 07 What Is A Consumer What Is A Producer.mp4 3.2 MB
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- Udemy Course downloader.txt 94 bytes
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