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Amazon Glue enables users to tag data as part of their trust scorecard. A trust scorecard evaluates data reliability, incorporating quality metrics, source credibility, compliance with governance standards, accessibility, and lineage documentation. It educates stakeholders on data integrity, guiding informed decision-making, improving data practices, and building confidence in data assets through transparent and accountable assessments of data's trustworthiness and quality. With Amazon Glue, users can easily integrate data tagging into their trust scorecard process.
Secoda's Automations feature seamlessly integrates with Amazon Glue to enhance data management processes. Through the integration, Secoda automates data tagging for trust scorecards by leveraging documentation completeness, usage, and other specified variables from Amazon Glue. The automation is divided into Triggers and Actions. Triggers activate the workflow based on schedules such as hourly, daily, or custom intervals. Actions in the automation include operations like filtering and updating metadata. By stacking actions, teams can create customized and detailed workflows that cater to their specific needs. Secoda's integration with Amazon Glue allows for efficient bulk updates to metadata, streamlining data management tasks.
One way to enhance data enablement practices and effectively manage data knowledge is by integrating Amazon Glue with Secoda. Secoda acts as a centralized platform, combining data catalog, lineage, documentation, and monitoring. This integration allows data teams to easily maintain their trust scorecards, enabling them to scale their operations efficiently. With this integration, users can effortlessly access and organize their data, leading to improved data management capabilities.
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