Identify assets for cleanup in BigQuery 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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One important aspect of data cleanup is integrating data from BigQuery. In this process, the goal is to identify and tag data that has not been accessed within a specific timeframe as "for review." By doing so, organizations can ensure the accuracy and reliability of their datasets. This integration helps maintain data consistency, enabling valid and informed analyses and decisions based on high-quality data. Ultimately, it enhances the overall quality of the data.
Secoda's integration with BigQuery allows users to automate tasks through triggers and actions. Triggers set the workflow in motion, with customizable schedules to activate subsequent actions. Actions encompass various operations such as filtering and updating metadata, enabling users to create tailored workflows. By utilizing Secoda, users can efficiently perform bulk updates to metadata in BigQuery. For instance, one can tag data from BigQuery that hasn't been accessed within a specified period as "for review," facilitating the cleanup process.
Secoda integrates with BigQuery, allowing data teams to efficiently scale their data cleanup practices. By combining your data catalog, lineage, documentation, and monitoring into a centralized platform, Secoda serves as an index of your company's data knowledge. This integration makes it effortless to prioritize assets and streamline data management processes.
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