Identify orphaned data in Sigma

Identify orphaned data in Sigma 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

In the context of data integration using Sigma, it is important to identify orphaned data, which refers to data that no longer has an assigned team or user. This identification process is essential in data cleanup practices to prevent data integrity issues, optimize storage use, enhance system performance, and ensure accurate data analysis and reporting processes. By tagging the orphaned data for review, organizations can streamline their data management practices and maintain the integrity of their data.

How it works

The integration between Sigma and Secoda allows for seamless automation through the use of triggers and actions. Triggers can be set up according to specific schedules, such as hourly, daily, or custom intervals, to initiate subsequent actions. Actions encompass various operations, such as filtering and updating metadata. By stacking actions, you can create detailed workflows customized to your team's requirements. One example of how this integration can be utilized is identifying data in Sigma that lacks an assigned team or user and tagging it for review. Additionally, Secoda enables bulk updates to metadata in Sigma, ensuring efficient and streamlined data management.

About Secoda

Integrating Sigma with Secoda offers a practical solution for data teams to enhance their data enablement practices. By combining both platforms, Secoda serves as a centralized hub that consolidates your company's data catalog, lineage, documentation, and monitoring capabilities. This integration allows data teams to effortlessly manage their trust scorecards and streamline their data knowledge. It provides a scalable approach to maintaining reliable data practices, enabling teams to efficiently carry out their data enablement activities.

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