Automations

Automated documentation for new Looker integration

⚡️ Automation

Automated documentation for new integrations in Looker 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 started
Automations

Automated documentation for new Looker integration

⚡️ Automation

Automated documentation for new integrations in Looker with Secoda. Learn more about how you can automate workflows to turn hours into seconds. Do more with less and scale without the chaos.

Find the following resources:
Integration
is
Looker
And automatically do this:
Add action

Overview

Integration with Looker allows Secoda to automatically create data documentation, including descriptions for tables, columns, and glossary terms. With this integration, Secoda can automatically tag columns when they contain a specific keyword of metadata from Looker. This feature helps you save time on documentation and allocate more time to distributing insights.

How it works

Integration with Looker allows for the automation of tasks through the use of triggers and actions. Triggers enable the scheduling of workflows, such as hourly or custom timeframes, to initiate subsequent actions. Actions encompass various operations, such as filtering and updating metadata, and can be combined to create customized workflows that meet your team's requirements. Secoda, when integrated with Looker, facilitates bulk updates to metadata, enabling the automatic tagging of columns based on specified keywords. This integration streamlines the documentation process in Looker, allowing you to allocate more time to sharing valuable insights.

About Secoda

The integration of Looker and Secoda allows for automated tagging of columns in the data documentation when a specific keyword is present. By using Secoda as a centralized data management platform, companies can have an index of their data knowledge that consolidates data catalog, lineage, documentation, and monitoring. This integration enhances data organization and accessibility, making it easier for users to navigate and understand their data.

Related automations

Explore all