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## Introduction
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.
[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 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 internal fork and GitHub.
## Quickstart
1. Install [docker](https://docs.docker.com/install/) and [docker-compose](https://docs.docker.com/compose/install/) (if using Linux). Make sure to allocate enough hardware resources for Docker engine. Tested & confirmed config: 2 CPUs, 8GB RAM, 2GB Swap area.
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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.
## Community
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).
Join our [slack workspace](https://app.slack.com/client/TUMKD5EGJ/DV0SB2ZQV/thread/GV2TEEZ5L-1583704023.001100) for discussions and important 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).
## Adoption
Here are the companies officially adopted DataHub. Please feel free to add your company to the list if we miss it.
Here are the companies that have officially adopted DataHub. Please feel free to add yours to the list if we missed it.
* [LinkedIn](http://linkedin.com)
* [Expedia Group](http://expedia.com)
* [Saxo Bank](https://www.home.saxo)