The Complete Hands-On Introduction to Apache Airflow

The Complete Hands-On Introduction to Apache Airflow
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz

Learn to author, schedule and monitor data pipelines through practical examples using Apache Airflow

What you’ll learn
Create plugins to add functionalities to Apache Airflow.
Using Docker with Airflow and different executors
Master core functionalities such as DAGs, Operators, Tasks, Workflows, etc
Understand and apply advanced concepts of Apache Airflow such as XCOMs, Branching and SubDAGs.
The difference between Sequential, Local and Celery Executors, how do they work and how can you use them.
Use Apache Airflow in a Big Data ecosystem with Hive, PostgreSQL, Elasticsearch etc.
Install and configure Apache Airflow
Think, answer and implement solutions using Airflow to real data processing problems

Requirements
At least 8 gigabytes of memory
Some prior programming or scripting experience. Python experience will help you a lot but since it’s a very easy language to learn, it shouldn’t be too difficult if you are not familiar with.

Description
Who this course is for:
People being curious about data engineering., People who want to learn basic and advanced concepts about Apache Airflow., People who like hands-on approach.

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