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Airflow for Beginners — I

 

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PHASE:- 1 ( Introduction and Installation )

Introduction

Apache Airflow is a platform for programmatically author schedule and monitor workflows. It is one of the best workflow management system.

Airflow was originally developed by Airbnb to manage its data-based operations with a fast-growing data set. Airflow is undergoing incubation at Apache Software foundation as Airbnb has decided to open source it under Apache certification.

Apache airflow makes your workflow a little bit simple and organized by allowing you to divide it into small independent task units. Easy to organize and easy to schedule. Your entire workflow can be converted into a DAG with Airflow.

Once your workflows are defined by your code it becomes more maintainable. With the feature-rich user interface your workflow pipelines can be easily visualized, monitored and troubleshot.

Airflow also provides a rich set of command-line utilities that can be used to perform complex operations on DAG.

In short, airflow is a platform where you can see and schedule your run for the script.

Installation

you can simply instaled the airflow by PIP.

pip install apache-airflow

so this command will installed your airflow local.

To start the airflow run the following command and you are set up with airflow.

airflow initdb   # initating the database for storing the DAGsairflow scheduler  # initating the scheduler for triggering on scheduled timeairflow webserver  # initating the webserver for UI

after this execution, your airflow is fully setup. You can find it in:

localhost:8080

so now you have fully set up with airflow and about execution and creating DAG, we will see in the next article.

THANKS FOR YOUR SUPPORT

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