Automations

Automatically tag your most used assets in Stitch

⚡️ Automation

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.

Get started
Automations

Automatically tag your most used assets in Stitch

⚡️ Automation

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.

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

Overview

With Secoda, you can integrate Stitch to effortlessly tag your frequently utilized assets. This integration streamlines your data processes and ensures that your data literacy and enablement practices are scalable and up-to-date. By identifying the most used assets, Secoda prioritizes their maintenance, saving you valuable time. Simplify your workflow and enhance your data management with this seamless integration.

How it works

Integration with Stitch allows you to automatically tag frequently used assets involving data sources through Secoda. This integration saves time and ensures your data literacy and enablement practices are scalable and up-to-date. An Automation consists of Triggers and Actions. Triggers activate the workflow, and you can set schedules for triggering subsequent actions. Actions include operations like filtering and updating metadata, which can be stacked to create customized workflows according to your team's needs. Secoda also enables bulk updates to metadata in Stitch.

About Secoda

Stitch and Secoda can be integrated to enhance data literacy and enablement practices. By combining these two tools, users can create a more scalable data management platform. Secoda consolidates various aspects of data knowledge such as catalog, lineage, documentation, and monitoring into a centralized platform. This integration allows for improved data organization and accessibility, facilitating better data-driven decision-making within the company.

Related automations

Explore all