Identify assets for cleanup 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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One important task in maintaining data accuracy, reliability, and consistency is data cleanup. This involves tagging data from Hive that has not been accessed within a certain period as 'for review' to facilitate the cleanup process. By doing so, organizations can ensure that analyses and decisions made using this data are valid and informed, ultimately enhancing the overall quality of the data.
Secoda's integration with Hive allows for seamless automation of tasks through triggers and actions. Triggers serve as the catalyst for workflows, with the ability to schedule them on an hourly, daily, or custom basis. This ensures a structured framework for initiating subsequent actions. Actions, on the other hand, offer a range of operations such as filtering and updating metadata. By stacking actions, teams can create intricate workflows tailored to their unique requirements. One valuable use case is the ability to tag data from Hive that has not been accessed within a specified period as "for review" for cleanup purposes. Additionally, Secoda empowers users to perform bulk updates to metadata in Hive, streamlining the data management process.
By integrating Hive with Secoda, data teams can enhance their data cleanup practices and efficiently prioritize assets. Secoda acts as a centralized hub for your company's data knowledge, consolidating the data catalog, lineage, documentation, and monitoring into a single platform. This integration enables seamless scalability and streamlines data management processes for improved efficiency.
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