Apache Airflow 2.0 Postgresql Complete Installation With Docker Explained. We have two methods to install airflow. The first is with the Docker and the next is with the WSL(Window Subsystem For Linus) and we are going to discuss both.
Apache Airflow is an open-source ETL tool, that helps to Extract the data from the source and then transform it according to our need, and finally, load it into the target database.
A Bonus point that’s what the ETL stands for (EXTRACT TRANSFORM AND LOAD)
We can schedule our ETL process in airflow according to our requirements.
Apache airflow is purely python-oriented.
The installation on the airflow can be tricky as it involves the different services that need to be set up. For example, for parallel processing we need PostgreSQL or MySQL instead of SQLite i.e the default Database for airflow for handling the metadata, and that we will be covering too.
This is the main reason why we install the airflow with docker. Directly installing docker is going to take care of all the complicated configuration settings and the service integration for us.
We have two methods to install airflow. The first is with the Docker and the next is with the WSL(Window Subsystem For Linus) and we are going to discuss both.
In this post I will show you how to set up official Apache/Airflow with PostgreSQL and LocalExecutor using docker and docker-compose. In this post, I won’t be going through Airflow, what it is, and how it is used. Please check the official documentation for more information about that.
In this post, we'll learn top 30 Python Tips and Tricks for Beginners
You can learn how to use Lambda,Map,Filter function in python with Advance code examples. Please read this article
Apache Airflow on Docker for local workloads. Airflow is the de facto ETL orchestration tool in most data engineers tool box. It provides an intuitive web interface for a powerful backend to schedule and manage dependencies for your ETL workflows.
I’ve been using it for around 2 years now to build out custom workflow interfaces, like those used for Laboratory Information Management Systems (LIMs), Computer Vision pre and postprocessing pipelines, and to set and forget other genomics pipelines.