Keyword-based column tagging in AWS S3 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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Secoda offers seamless integration with AWS S3, allowing users to effortlessly tag columns based on specific keywords found in metadata. This integration eliminates the need for manual documentation, as Secoda automatically generates descriptions for tables, columns, and glossary terms. By leveraging this integration, users can save time on documentation tasks and redirect their efforts towards sharing valuable insights.
Integration with AWS S3 allows for the automation of workflows using two key components: Triggers and Actions. Triggers enable the scheduling of specific events, such as hourly or daily, to initiate subsequent actions. Actions encompass various operations, including filtering and metadata updates, to create customized workflows for your team's requirements. In the case of Secoda, integration facilitates bulk updates to metadata in AWS S3. For example, it can automatically tag columns containing specific keywords, reducing the time spent on documentation and allowing for a greater focus on sharing insights.
Integration with AWS S3 allows for the seamless connection between Secoda, a comprehensive data management platform, and your company's data catalog, lineage, documentation, and monitoring. With this integration, users can automatically tag columns in their data when they contain specific keywords. AWS S3 serves as a central storage repository for your data, while Secoda acts as an index of your company's data knowledge, consolidating various data management components into one platform.
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