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Airflow

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May 1, 2024 4 minute read

Airflow, an open-source workflow management system created by the Apache Software Foundation, is designed to orchestrate, schedule, and monitor data pipelines for data engineering and data science workflows. It offers a user-friendly visual interface and a command-line interface for defining, monitoring, and managing complex data pipelines.

Why Learn Airflow?

There are several reasons why one might want to learn Airflow:

Path to Airflow

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We've curated four courses to help you on your path to Airflow. Use these to develop your skills, build background knowledge, and put what you learn to practice.

Sorted from most relevant to least relevant:

Automate Data Pipelines

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Cloud Composer: Qwik Start - Console

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HVAC Troubleshooting Algorithm

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Snowflake - Build and Architect Data Pipelines Using AWS

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Reading list

We've selected two books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Airflow.

Mastering Spark with R

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Is designed for data scientists who want to learn how to use Airflow to build and manage data pipelines. It provides a step-by-step guide to using Airflow, from installation to deployment.

Mastering Spark with R: The Complete Guide to Large...

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Mastering Spark with R: The Complete Guide to Large...

Kindle Edition

Big Data Made Easy

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Comprehensive guide to Airflow for data engineers. It covers everything from the basics of Airflow to advanced topics such as data quality and security.

Big Data Made Easy: A Working Guide to the Complete...

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