Connect Airflow and Postgres

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Airflow and Postgres

What are the benefits of connecting Airflow and Postgres

Connecting Postgres to Airflow enables users to easily access, analyze, and manipulate data stored in Postgres. As a result, users can run complex data pipelines in a fraction of the time as opposed to manual workflows. Additionally, Airflow allows for advanced scheduling capabilities and automated workflows, resulting in a more efficient data processing and storage experience.

How to connect Airflow and Postgres

To connect Airflow and Postgres, first create a connection called “postgres_default” in Airflow. Then, provide the necessary connection properties, such as Host, Schema, Login, Password and Port. Finally, use the PostgresHook to access the connection for tasks.

What are the benefits of connecting Airflow and Postgres in a data catalog

Connecting Airflow and Postgres to Secoda provides a single source of truth for data teams. It automates the process of cataloging data and metadata and makes it easier to find and access the data. It also provides a comprehensive view of the data and its lineage, which helps data teams understand the data better.

Manage your modern data stack with Secoda

We’ve built Secoda as a single place for all incoming data and metadata, a single source of truth. Collecting and analyzing essential to ensuring your company is making the right decisions and moving in the right direction. Secoda gives every employee a single plane they can go to in order to find, understand and use company data.

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