Identify assets for cleanup in Postgres 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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In the context of data cleanup, the integration of 'Postgres' allows for tagging data that has not been accessed within a certain period. By marking this data as 'for review', it becomes easier to identify and clean up outdated or unnecessary information. This process is crucial for maintaining accurate and reliable datasets, ensuring that analyses and decisions made using this data are well-informed and valid, ultimately enhancing the overall quality of the data.
Integration with Postgres in Secoda allows you to automate tasks using Triggers and Actions. Triggers determine when the workflow should be activated, based on predefined schedules. This flexibility allows you to set up hourly, daily, or custom triggers to execute subsequent actions. Actions, on the other hand, encompass a range of operations, such as filtering and updating metadata. By combining multiple actions, you can create customized workflows to meet your team's specific requirements. One useful feature of this integration is the ability to perform bulk updates to metadata in Postgres. For example, you can tag data from Postgres that hasn't been accessed within a specific timeframe as 'for review,' enabling a cleanup process.
When integrating Secoda with Postgres, data teams can enhance their data cleanup practices and streamline asset prioritization. Secoda acts as a unified platform for managing your company's data knowledge by consolidating data catalog, lineage, documentation, and monitoring. By leveraging the power of Postgres, Secoda enables efficient scaling and organization of data operations for improved data management.
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