Automations

Identify orphaned data in Datafold

⚡️ Automation

Identify orphaned data in Datafold 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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Automations

Identify orphaned data in Datafold

⚡️ Automation

Identify orphaned data in Datafold 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 Datafold allows organizations to identify orphaned data that no longer has an assigned team or user. This is an essential step in data cleanup practices. By tagging this data for review, organizations can prevent data integrity issues, optimize storage use, enhance system performance, and ensure accurate data analysis and reporting processes. With the integration, Datafold empowers organizations to maintain a streamlined and efficient data management system.

How it works

Integration with Datafold allows for seamless automation of data management tasks. By leveraging Triggers and Actions, you can easily set up workflows to activate specific schedules and trigger subsequent actions. These actions encompass a range of operations such as filtering and updating metadata, providing flexibility to tailor detailed workflows based on your team's needs. This integration, when used with Secoda, enables you to efficiently identify data in Datafold that lacks an assigned team or user. Consequently, you can swiftly tag such data for review, ensuring timely attention to unassigned resources.

About Secoda

Datafold and Secoda work together to enhance data enablement practices for data teams. Secoda acts as a comprehensive data management platform, bringing together various components such as data catalog, lineage, documentation, and monitoring. By utilizing Datafold within the Secoda ecosystem, data teams can effortlessly maintain their trust scorecards. This integration aids data teams in scaling their data enablement practices effectively.

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