Automations

Automatically tag your most used assets in Airflow

⚡️ Automation

Automatically tag your most used assets with Secoda. Learn more about how you can automate workflows to turn hours into seconds. Do more with less and scale without the chaos.

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Automations

Automatically tag your most used assets in Airflow

⚡️ Automation

Automatically tag your most used assets with Secoda. Learn more about how you can automate workflows to turn hours into seconds. Do more with less and scale without the chaos.

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Airflow
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Overview

When it comes to integrating Airflow with Secoda, you can automate the tagging process for your frequently used assets. This integration allows you to save valuable time and ensures that your data literacy and enablement practices are scalable and up-to-date. With Secoda's automatic identification of the most used assets, you can prioritize maintenance effectively.

How it works

Secoda offers integration with Airflow, a popular data source. By connecting Secoda with Airflow, you can automatically tag frequently used assets, saving time and ensuring your data literacy and enablement practices are up-to-date and scalable. This integration allows you to create automated workflows consisting of triggers and actions. Triggers activate the workflow based on specific schedules such as hourly, daily, or custom intervals. Actions include various operations like filtering and updating metadata, which you can stack to create customized workflows that align with your team's requirements. Furthermore, Secoda enables you to efficiently perform bulk updates to metadata in Airflow.

About Secoda

Airflow is a powerful framework that, when integrated with Secoda, enhances data literacy and enables efficient data practices. By combining Airflow and Secoda, companies can establish scalable data management processes. Secoda acts as a comprehensive repository for a company's data knowledge, consolidating data catalog, lineage, documentation, and monitoring in one streamlined platform. Through this integration, businesses can optimize their data workflows and make informed decisions based on a holistic understanding of their data assets.

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