Automations

Identify assets for cleanup in Airflow

⚡️ Automation

Identify assets for cleanup in Airflow 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

Identify assets for cleanup in Airflow

⚡️ Automation

Identify assets for cleanup in Airflow 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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Overview

Integration with Airflow allows for efficient data cleanup by tagging data that has not been accessed within a specified time period as "for review." This process is crucial in maintaining the accuracy, reliability, and consistency of datasets. By identifying and addressing outdated or unnecessary data, organizations can ensure that their analyses and decisions are based on up-to-date and relevant information. This integration aids in enhancing overall data quality, leading to more valid and informed outcomes.

How it works

Secoda, a powerful tool for automating workflows, integrates seamlessly with Airflow. Through this integration, users can easily tag data from Airflow that has not been accessed within a specific time frame as 'for review'. This feature enables efficient and organized cleanup processes, ensuring that only relevant and up-to-date information is retained. With Secoda, bulk updates to metadata in Airflow can be effortlessly performed, streamlining data management tasks. By combining Triggers and Actions, users can create customized workflows that suit their team's unique requirements, adding flexibility and efficiency to their data management processes. Secoda empowers users to enhance their Airflow experience and optimize data organization effortlessly.

About Secoda

Airflow integration with Secoda empowers data teams to enhance their data cleanup processes in a scalable manner. By utilizing Secoda's comprehensive data knowledge index, which combines data catalog, lineage, documentation, and monitoring into a unified data management platform, it becomes effortless to prioritize assets effectively. This integration streamlines the coordination of data tasks and supports efficient data management practices.

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