Data Hub

Introduction

Data Hub is Linkedin's generalized metadata search & discovery tool. Check out the Linkedin blog post about Data Hub. This repository is a monorepo which contains complete source code to be able to build Data Hub's frontend & backend services.

Quickstart

1. To get a quick taste of Data Hub, check Docker Quickstart Guide first.
2. After you have all Docker containers running in your machine, you can ingest sample data by following Data Hub Ingestion Guide.
3. Finally, you can start Data Hub by typing http://localhost:9001 in your browser. You can sign in with datahub as username and password.

Quicklinks

• Docker Images
• Frontend App
• Generalized Metadata Store
• Metadata Consumer Jobs
• Metadata Ingestion

Roadmap

1. Add Neo4J graph query support
2. Add user profile page
3. Deploy Data Hub to Azure Cloud