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DataHub is LinkedIn's generalized metadata search & discovery tool. To learn more about DataHub, check out our
[LinkedIn blog post](https://engineering.linkedin.com/blog/2019/data-hub) and [Strata presentation](https://speakerdeck.com/shirshanka/the-evolution-of-metadata-linkedins-journey-strata-nyc-2019).
You should also visit [DataHub Architecture](docs/architecture/architecture.md) to get a better understanding of how DataHub is implemented and [DataHub Onboarding Guide](docs/how/entity-onboarding.md) to understand how to extend DataHub for your own use case.
This repository contains the complete source code for both DataHub's frontend & backend. You can also read about [how we sync the changes](https://engineering.linkedin.com/blog/2020/open-sourcing-datahub--linkedins-metadata-search-and-discovery-p) between our the internal fork and GitHub.
This step takes a while to run the first time, and it may be difficult to tell if DataHub is fully up and running from the combined log. Please use [this guide](https://github.com/linkedin/datahub/blob/master/docs/debugging.md#how-can-i-confirm-if-all-docker-containers-are-running-as-expected-after-a-quickstart) to verify that each container is running correctly.
5. At this point, you should be able to start DataHub by opening [http://localhost:9001](http://localhost:9001) in your browser. You can sign in using `datahub` as both username and password. However, you'll notice that no data has been ingested yet.
6. To ingest provided [sample data](https://github.com/linkedin/datahub/blob/master/metadata-ingestion/mce-cli/bootstrap_mce.dat) to DataHub, switch to a new terminal window, `cd` into the cloned `datahub` repo, and run the following command:
See [Releases](https://github.com/linkedin/datahub/releases) page for more details. We follow the [SemVer Specification](https://semver.org) when versioning the releases and adopt the [Keep a Changelog convention](https://keepachangelog.com/) for the changelog format.
We welcome contributions from the community. Please refer to our [Contributing Guidelines](CONTRIBUTING.md) for more details. We also have a [contrib](contrib) directory for incubating experimental features.
Join our [slack workspace](https://app.slack.com/client/TUMKD5EGJ/DV0SB2ZQV/thread/GV2TEEZ5L-1583704023.001100) for important discussions and announcements. You can also find out more about our past and upcoming [town hall meetings](https://github.com/linkedin/datahub/blob/master/docs/townhalls.md).
* [The evolution of metadata: LinkedIn’s story @ Strata Data Conference 2019](https://speakerdeck.com/shirshanka/the-evolution-of-metadata-linkedins-journey-strata-nyc-2019)
