Identify orphaned data in Hive

Identify orphaned data in Hive 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

Integration with Hive enables the identification of data that does not have an assigned team or user. This data is then tagged for review. Identifying such orphaned data is important for data cleanup practices. It helps prevent data integrity issues, optimize storage use, enhance system performance, and ensure accurate data analysis and reporting processes.

How it works

With the integration of Hive in Secoda, you can effortlessly automate tasks through Triggers and Actions. Triggers enable you to set up schedules, such as hourly or daily, for initiating subsequent actions. Actions encompass a range of operations, including filtering and updating metadata, allowing you to create customized workflows aligned with your team's requirements. This integration empowers you to efficiently perform bulk updates to metadata in Hive. In the context of identifying unassigned data in Hive, Secoda enables you to tag such data for review, streamlining the process and enhancing data management.

About Secoda

Secoda helps data teams enhance their data enablement practices by providing a centralized data management platform. By integrating with Hive, Secoda allows for the consolidation of data catalog, lineage, documentation, and monitoring. This integration simplifies the process of maintaining trust scorecards, enabling data teams to scale their operations efficiently.

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