Automatically tag your most used assets in Redash

Automatically tag your most used assets 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 enables efficient management of data assets by automatically tagging commonly used assets, particularly those involving data sources like Redash. This functionality helps save time and promotes scalability and up-to-date data literacy and enablement practices. Secoda's automated identification of frequently used assets allows for prioritized maintenance, ensuring the smooth functioning of data management processes.

How it works

Secoda offers integration with Redash, a data source platform that allows you to tag your frequently used assets automatically. By leveraging Secoda's integration, you can save time and ensure the scalability and currency of your data literacy and enablement practices. This integration enables you to create automation workflows consisting of triggers and actions. Triggers activate the workflow based on specified schedules, providing a structured framework for subsequent actions. Actions encompass various operations, such as filtering and updating metadata. Furthermore, you can stack actions to create customized workflows that cater to your team's specific needs. As a result, Secoda empowers you to perform bulk updates to metadata within Redash, streamlining your data management processes.

About Secoda

Redash and Secoda can be integrated to enhance data literacy and enablement practices within your company. By combining the functionality of Redash, a powerful data visualization and exploration tool, with Secoda, a comprehensive data management platform, you can create scalable practices for understanding and utilizing your company's data. Secoda serves as a centralized index of your data knowledge, consolidating your data catalog, lineage, documentation, and monitoring. This integration allows for easier access to relevant data and promotes efficient data-driven decision-making.

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