Build and maintain trust scorecards 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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AWS S3 integration allows you to tag data from AWS S3 as part of your trust scorecard. A trust scorecard in data literacy measures data reliability, considering quality metrics, source credibility, governance compliance, accessibility, and lineage documentation. It informs stakeholders about data integrity and assists in making informed decisions, enhancing data practices, and instilling confidence in data assets. Through transparent and accountable assessments, the trust scorecard evaluates the trustworthiness and quality of data.
Integration with AWS S3 allows users to create automated workflows using Secoda. These workflows consist of triggers and actions. Triggers activate the workflow based on specific schedules or custom criteria. Actions encompass various operations such as filtering and updating metadata. Users can stack multiple actions to create customized workflows that cater to their team's requirements. With Secoda's AWS S3 integration, users can perform bulk updates to metadata. Secoda's automation feature also enables the automatic tagging of data for trust scorecards using documentation completeness, usage, and other specified variables from AWS S3.
Secoda's integration with AWS S3 enhances data teams' ability to scale their data enablement practices. By seamlessly integrating AWS S3 into Secoda's data management platform, data teams can efficiently maintain their trust scorecards. Secoda serves as a comprehensive index of your company's data knowledge, consolidating data catalog, lineage, documentation, and monitoring. This integration simplifies data management and allows for easier access to S3 storage within the Secoda platform.
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