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Marquez

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Marquez is a core service for the collection, aggregation, and visualization of a data ecosystem's metadata. It maintains the provenance of how datasets are consumed and produced, provides global visibility into job runtime and frequency of dataset access, centralization of dataset lifecycle management, and much more.

Status

This project is under active development at WeWork and Stitch Fix (in collaboration with many others organizations).

Documentation

The Marquez design is being actively updated and is open for comments.

Requirements

  • Java 8 or above
  • PostgreSQL database
  • Gradle 4.9 or above

Building

To build the entire project run:

$ ./gradlew shadowJar

The executable can be found under build/libs/

Configuration

To run Marquez, you will have to define config.yml (see reference). The configuration file is passed to the application and used to specify your database connection. When creating your database, we recommend calling it marquez. Please copy config.example.yml:

$ cp config.example.yml config.yml

You will then need to edit it and specify your database information.

Note: As an optional step, you can manually run the database migration with:

$ ./gradlew run --args 'db migrate config.yml'

Tip: You can access environment variables from config.yml with ${VAR_NAME}.

Running the Application

$ ./gradlew run --args 'server config.yml'

Then browse to the admin interface: http://localhost:8081

Getting involved

Contributing

See CONTRIBUTING.md for more details about how to contribute.

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Collect, aggregate, and visualize a data ecosystem's metadata

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