Automated documentation for new Great Expectations integration

Automated documentation for new integrations in Great Expectations 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 is a tool that helps streamline the process of documenting data by integrating with "Great Expectations". With this integration, Secoda can automatically tag columns when they contain specific keywords from the metadata of "Great Expectations". This feature saves time, allowing you to focus on distributing insights rather than dedicating too much effort to documentation. Additionally, Secoda also creates comprehensive data documentation, which includes descriptions for tables, columns, and glossary terms. This holistic approach ensures that your data documentation is accurate and efficient.

How it works

Secoda's integration with Great Expectations allows you to automate the tagging process for columns that contain specific keywords in their metadata. By setting up triggers, you can schedule regular updates or customize the frequency to suit your needs. The actions provided by Secoda enable you to perform operations such as filtering and updating metadata. You can stack these actions to create tailored workflows that align with your team's requirements. With Secoda, you can efficiently perform bulk updates to metadata in Great Expectations, saving valuable time on documentation and allowing you to focus on sharing insights with your team.

About Secoda

Integration between Great Expectations and Secoda allows for seamless data documentation and tagging. By leveraging Great Expectations' powerful capabilities, columns containing specific keywords can be automatically tagged, providing a streamlined approach to data management. Secoda acts as a centralized hub, combining various aspects of data knowledge including catalog, lineage, documentation, and monitoring. This integration enhances data organization and accessibility, contributing to improved data management within your company.

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