Identify orphaned data in AWS S3 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 with AWS S3 allows users to identify data that no longer has an assigned team or user and tag it for review. This is an important process in data cleanup practices to maintain data integrity, maximize storage utilization, improve system performance, and ensure accurate data analysis and reporting. By identifying orphaned data, organizations can efficiently manage their data resources and mitigate potential complications in data management.
Secoda's integration with AWS S3 enables you to automate tasks through triggers and actions. Triggers can be scheduled on a regular or customized basis to initiate subsequent actions. Actions encompass a range of operations, such as filtering and updating metadata, allowing you to create tailored workflows. With Secoda, you can efficiently perform bulk updates to metadata in AWS S3. In this context, the integration can help you identify data in AWS S3 that does not have an assigned team or user, and tag it for review.
Using AWS S3 in conjunction with Secoda can greatly enhance data teams' ability to scale their data enablement practices. By integrating AWS S3 with Secoda, data teams can streamline their data management processes and consolidate their data catalog, lineage, documentation, and monitoring in a single platform. This integration enables data teams to efficiently maintain their trust scorecards, making it easier for them to ensure the accuracy and reliability of their data knowledge.
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