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

• [UdemyCourseDownloader] Building Data Pipelines with Python Understanding Pipeline Frameworks, Workflow Automation, and Python Toolset
• 01 Welcome To The Course.mp4 8.8 MB
• 02 About The Author.mp4 8.6 MB
• 03 Introduction To Automation.mp4 7.1 MB
• 04 Adventures With Servers.mp4 29.5 MB
• 05 Being A Good Systems Caretaker.mp4 27.1 MB
• 06 What Is A Queue.mp4 3.9 MB
• 07 What Is A Consumer What Is A Producer.mp4 3.2 MB
• 08 Why Celery.mp4 7.9 MB
• 09 Celery Architecture & Set Up.mp4 24.4 MB
• 10 Writing Your First Tasks.mp4 32.8 MB
• 11 Deploying Your Tasks.mp4 27.7 MB
• 12 Scaling Your Workers.mp4 39.7 MB
• 13 Monitoring With Flower.mp4 22.5 MB
• 14 Advanced Celery Features.mp4 26.9 MB
• 15 Why Dask.mp4 13.5 MB
• 16 First Steps With Dask.mp4 37.4 MB
• 17 Dask Bags.mp4 45.7 MB
• 18 Dask Distributed.mp4 45 MB
• 19 What Are Data Pipelines What Is Dag.mp4 9.5 MB
• 20 Luigi And Airflow - A Comparison.mp4 20.5 MB
• 21 First Steps With Luigi.mp4 32.4 MB
• 22 More Complex Luigi Tasks.mp4 39.5 MB
• 23 Introduction To Hadoop.mp4 37 MB
• 24 First Steps With Airflow.mp4 36 MB
• 25 Custom Tasks With Airflow.mp4 41.2 MB
• 26 Advanced Airflow - Subdags And Branches.mp4 50.5 MB
• 27 Using Luigi With Hadoop.mp4 45.8 MB
• 28 Apache Spark.mp4 37.8 MB
• 29 Apache Spark Streaming.mp4 24.9 MB
• 30 Django Channels.mp4 42.9 MB
• 31 And Many More.mp4 26.7 MB
• 32 Introduction To Testing With Python.mp4 20.1 MB
• 33 Property-Based Testing With Hypothesis.mp4 16.6 MB
• 34 What's Next.mp4 12 MB
• Udemy Course downloader.txt 94 B

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