Apache Airflow - The Complete Hands-On Zero To Champ

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Apache Airflow - The Complete Hands-On Zero To Champ (Size: 702.8 MB)
  1 - What is Airflow What is Workflow.mp4 12 MB
  10 - Install Airflow.mp4 97.5 MB
  11 - Basic Workflow with Dummy Operators in Apache Airflow.mp4 90 MB
  11 - tips-dummy1.py 409.6 B
  12 - Basic Workflow using BashOperator in Apache Airflow.mp4 63.7 MB
  12 - tips-bash2.py 1 KB
  13 - Basic Workflow using PythonOperator vs BashOperator.mp4 99.3 MB
  13 - tips-python1.py 1.1 KB
  14 - Airflow DAG with Catchup Enabled.mp4 62.3 MB
  14 - Few variables by default that are accessible in all templates.txt 102.4 B
  14 - tips-catchup-true.py 716.8 B
  15 - Airflow DAG with Catchup Disabled.mp4 29.5 MB
  15 - tips-catchup-false.py 716.8 B
  16 - Backfill.txt 102.4 B
  16 - Backfilling in Apache Airflow.mp4 36.5 MB
  17 - Airflow Cron Presets.txt 102.4 B
  17 - Cron Hub.txt 0 B
  17 - CronTab Guru.txt 0 B
  17 - Scheduling a DAG to Run Daily at 1145 PM in Airflow.mp4 65.7 MB
  17 - To UTC WorldTimeBuddy.txt 0 B
  17 - To UTC.txt 0 B
  17 - tips-sch1.py 716.8 B
  2 - Why Airflow.mp4 15.3 MB
  3 - Enable WSL.mp4 11.9 MB
  4 - Catchup and BackFill.html 0 B
  4 - Notes Install WSL.html 1.4 KB
  5 - Install WSL.mp4 32 MB
  6 - Notes Environment Setup.html 1.4 KB
  7 - Environment Setup.mp4 29 MB
  8 - Install Editor.mp4 58.1 MB
  9 - Notes Install Airflow.html 2 KB
  Bonus Resources.txt 409.6 B
  Get Bonus Downloads Here.url 204.8 B
  ▲ 33 total files

Description


Apache Airflow - The Complete Hands-On Zero To Champ
https://FreeCourseWeb.com

Published 9/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 702.81 MB | Duration: 1h 9m

Lab - author, schedule and monitor data pipelines through practical examples using Apache Airflow and Practice Exams

What you'll learn
Develop plugins to extend the capabilities of Apache Airflow.
Master in core functionalities such as DAGs, Operators, Tasks, Workflows, etc
The difference between Sequential, Local and Celery Executors, how do they work and how can you use them.
Install and configure Apache Airflow
Understand and apply advanced concepts of Apache Airflow such as XCOMs, Branching and SubDAGs.
Incorporate Apache Airflow within a Big Data ecosystem.
Engage in critical thinking, devise solutions, and implement them using Airflow to tackle real data processing challenges.

Requirements
A very basic knowledge of Python will be an add-on.

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