Automated documentation versioning in Fivetran with Secoda. Learn more about how you can automate workflows to turn hours into seconds. Do more with less and scale without the chaos.
Get startedSecoda integrates seamlessly with Fivetran to automate data documentation and streamline the process of documenting schema changes. When modifications are made to a schema, Secoda triggers versioning of the documentation and labels the updated documents as 'version-updated'. By pulling metadata from Fivetran, Secoda reduces the time spent on documentation, allowing users to devote more time to distributing valuable insights. With Secoda, users can effortlessly create comprehensive data documentation that includes descriptions for tables, columns, and glossary terms.
Secoda's integration with Fivetran allows for seamless data documentation. By utilizing metadata from Fivetran through Secoda Automations, users can effortlessly generate descriptions for tables, columns, and glossary terms. An Automation within Secoda consists of two components: Triggers and Actions. Triggers determine when the workflow is activated, whether it be hourly, daily, or on a custom schedule. Actions, on the other hand, encompass various operations such as filtering and updating metadata. These actions can be stacked to create intricate workflows tailored to the unique requirements of your team. Additionally, Secoda enables users to perform bulk updates to metadata in Airbyte, providing a comprehensive solution for data integration needs.
By integrating Fivetran with Secoda, companies can accelerate the process of creating documentation using AI. Secoda acts as a central knowledge index for an organization's data, bringing together data catalog, lineage, documentation, and monitoring into one comprehensive data management platform. This integration allows users to leverage Fivetran's capabilities to streamline and enhance the documentation process, making it faster and more efficient. The synergy between Fivetran and Secoda enables organizations to maximize the benefits of their data management efforts and improve overall productivity.