Identify orphaned data in Stitch

Identify orphaned data in Stitch 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 tools like Stitch are essential for data cleanup practices as they allow organizations to identify orphaned data that lacks an assigned team or user. This process involves tagging the data for review, which is crucial for maintaining data integrity, optimizing storage use, improving system performance, and ensuring accurate data analysis and reporting. With Stitch, businesses can efficiently manage and organize their data, avoiding potential pitfalls caused by unassigned data.

How it works

With Secoda's integration of Stitch, you can easily automate the process of identifying data that no longer has an assigned team or user and tag it for review. By utilizing Triggers, you can set specific schedules to activate the workflow, ensuring that the identification process is carried out as frequently as needed. Once triggered, a series of Actions can be performed to filter and update metadata with ease. Whether it involves updating tags, assigning new teams, or any other necessary operations, Secoda allows you to stack actions on top of one another to create workflows tailored to your team's specific needs. This integration facilitates bulk updates to metadata in Stitch, streamlining the process of reviewing and managing unassigned data.

About Secoda

When integrating Stitch with Secoda, data teams can enhance their data enablement practices and ensure easy maintenance of trust scorecards. Secoda acts as a comprehensive data management platform, consolidating a company's data catalog, lineage, documentation, and monitoring into one centralized index. This integration offers a scalable solution for data teams, allowing them to effectively manage and organize their data knowledge. With Stitch and Secoda, data practitioners can streamline their workflow and optimize their data management processes.

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