[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