General Metadata Architecture

Documentation | Roadmap | FAQ

📣 We've moved from Bintray to Artifactory!

As of version 0.2.45, we are only publishing versions to LinkedIn's Artifactory instance rather than Bintray, which is approaching end of life.

Introduction

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.

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.

Documentation

• GMA Developer's Guide
• GMA Architecture

Releases

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.

FAQs

Frequently Asked Questions about DataHub can be found here.

Features & Roadmap

Check out GMA's Features & Roadmap.

Contributing

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.

Community

Join our slack workspace for discussions and important announcements.