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@ -16,7 +16,7 @@ DataHub is LinkedIn's generalized metadata search & discovery tool. To learn mor
[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.
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.
## Quickstart
1. Install [docker](https://docs.docker.com/install/) and [docker-compose](https://docs.docker.com/compose/install/). Make sure to configure Docker to allocate enough hardware resources for Docker engine. Tested & confirmed config: 4 CPUs, 8GB RAM, 2GB Swap area.