Automated documentation versioning for AWS S3

Automated documentation versioning 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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Overview

Secoda enables seamless integration with AWS S3, ensuring efficient documentation versioning and tagging of updated documents as 'version-updated' when schema changes occur. By automating the creation of data documentation, including table descriptions, column details, and glossary terms, Secoda enables users to spend less time on documentation tasks and more on the distribution of valuable insights. Users can effortlessly access metadata from AWS S3 through Secoda, streamlining their workflow and maximizing productivity.

How it works

Secoda's integration with AWS S3 allows for the automatic generation of data documentation, such as table and column descriptions, as well as glossary terms. This integration leverages metadata from AWS S3 through the Secoda Automations feature. Automations consist of Triggers and Actions. Triggers determine when the workflow is activated, and can be set based on specific schedules or custom triggers. Actions encompass a range of operations, including metadata updates and filtering. These actions can be stacked to create customized workflows that meet the specific needs of your team. Additionally, Secoda allows for bulk updates to metadata in Airbyte.

About Secoda

By integrating AWS S3 with Secoda, you can accelerate the process of creating documentation with the help of AI. Secoda acts as a centralized data management platform, bringing together your company's data catalog, lineage, documentation, and monitoring. This collaboration enables a seamless and efficient way to manage and access your data knowledge. AWS S3 plays a crucial role in the integration, providing a scalable and secure storage solution for your data assets. With this integration, you can streamline your documentation process and enhance productivity in your organization.

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