Documentation | Roadmap | FAQ

General Metadata Architecture (GMA) is the backend for DataHub, LinkedIn's generalized metadata search & discovery tool. To learn more about DataHub, check out its GitHub page.

You should also visit GMA Architecture to get a better understanding of how GMA is implemented and GMA Onboarding Guide to understand how to extend GMA for your own use cases.

This repository contains the partial source code for GMA. It originally lived in the same GitHub repository as DataHub. We're still in the process of moving it all over.

• GMA Developer's Guide
• GMA Architecture
• GMA Onboarding Guide

See Releases page for more details. We follow the SemVer Specification when versioning the releases and adopt the Keep a Changelog convention for the changelog format.

Frequently Asked Questions about DataHub can be found here.

Check out GMA's Features & Roadmap.

We welcome contributions from the community. Please refer to our Contributing Guidelines for more details. We also have a contrib directory for incubating experimental features.

Join our slack workspace for discussions and important announcements.