Identify assets for cleanup in Microsoft SQL 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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Integration with Microsoft SQL allows for efficient data cleanup processes. By tagging data from Microsoft SQL that has not been accessed within a certain period as "for review," organizations can effectively identify and address outdated or unnecessary information. Ensuring that datasets are regularly reviewed and cleaned up is crucial for maintaining accurate and reliable data. This practice enhances data quality, ensuring that analyses and decisions made based on this data are valid and well-informed.
With the integration of Microsoft SQL in Secoda, you can automate data management tasks efficiently. The automation consists of two components: Triggers and Actions. Triggers determine when the workflow is activated, allowing you to set schedules such as hourly, daily, or custom intervals. This provides a structured framework for subsequent actions. Actions, on the other hand, encompass various operations, including metadata updates and filtering. By stacking actions, you can create detailed workflows customized to your team's needs. Secoda empowers you to perform bulk updates to metadata in Microsoft SQL, making it easier to tag data that hasn't been accessed within a specific time period as 'for review' for cleanup purposes.
Secoda integrates seamlessly with Microsoft SQL, enabling data teams to enhance their data cleanup practices efficiently. By utilizing Secoda's integration with Microsoft SQL, organizations can easily prioritize their assets and achieve scalability in their data management processes. Secoda acts as a centralized hub for consolidating data catalogs, lineage, documentation, and monitoring, thereby streamlining data knowledge management for improved productivity and effectiveness.
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