Identify assets for cleanup in Datafold 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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Integration of Datafold into data cleanup processes is crucial for maintaining the accuracy, reliability, and consistency of datasets. By tagging data from Datafold that has not been accessed within a specified period as "for review," organizations can ensure a systematic and efficient cleanup. This helps to enhance the overall quality of data and enables valid and informed analyses and decisions based on this information.
Datafold integration in Secoda allows for automation of workflows through triggers and actions. Triggers enable the activation of workflows at specified intervals or custom schedules. Actions encompass a variety of operations such as metadata updating and filtering. By stacking actions, tailored workflows can be created to meet specific team requirements. With this integration, bulk updates to metadata in Datafold can be performed efficiently, aiding in the organization and cleanup of data. For example, data from Datafold that has not been accessed within a certain period can be tagged as 'for review' to facilitate cleanup processes.
Datafold integration with Secoda enhances data teams' ability to streamline their data cleanup practices and efficiently prioritize assets. Secoda acts as a comprehensive data management platform, consolidating essential components such as data catalog, lineage, documentation, and monitoring, serving as an index of the company's data knowledge. By leveraging Datafold within Secoda, data teams can effectively scale their data cleanup efforts.
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