Automations

Identify assets for cleanup in Dataform

⚡️ Automation

Identify assets for cleanup in Dataform 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 Dataform

⚡️ Automation

Identify assets for cleanup in Dataform 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

One important aspect of data cleanup is integrating Dataform to tag data that has not been accessed within a certain period as 'for review.' By doing this, organizations can ensure the accuracy and reliability of their datasets. This integration helps maintain the consistency of the data, allowing for valid and informed analyses and decisions to be made based on the information at hand. Ultimately, this contributes to enhancing the overall quality of the data.

How it works

To tag data from Dataform as 'for review' for cleanup, you can integrate Secoda with the Dataform Automation feature. By setting up a Trigger in Secoda, you can specify a schedule (such as hourly or daily) to activate subsequent Actions. In this case, the Action would involve filtering and updating the metadata of the data that has not been accessed within a certain period. By stacking these Actions, you can create a customized workflow that suits your team's needs, ultimately allowing you to perform bulk updates to metadata in Dataform efficiently. This integration with Secoda provides a structured framework for managing and cleaning up data that requires review.

About Secoda

When integrated with Secoda, Dataform becomes a powerful tool for data teams to efficiently manage their data cleanup practices. By connecting with Secoda's data management platform, Dataform enables data teams to easily prioritize their data assets. Secoda acts as an index for all the data knowledge within a company, consolidating data catalog, lineage, documentation, and monitoring into a single platform. This integration helps data teams scale their data cleanup efforts and streamline their processes.

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