datahub/docs/README.md

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# Introduction
DataHub is LinkedIn's generalized metadata search & discovery tool. To learn more about DataHub, check out our
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[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](architecture/architecture.md) to get a better understanding of how DataHub is implemented and [DataHub Onboarding Guide](how/entity-onboarding.md) to understand how to extend DataHub for your own use case.
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# Documentation
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* [DataHub Developer's Guide](developers.md)
* [DataHub Architecture](architecture/architecture.md)
* [DataHub Onboarding Guide](how/entity-onboarding.md)
* [Docker Images](https://github.com/linkedin/datahub/tree/master/docker)
* [Frontend](https://github.com/linkedin/datahub/tree/master/datahub-frontend)
* [Web App](https://github.com/linkedin/datahub/tree/master/datahub-web)
* [Generalized Metadata Service](https://github.com/linkedin/datahub/tree/master/gms)
* [Metadata Ingestion](https://github.com/linkedin/datahub/tree/master/metadata-ingestion)
* [Metadata Processing Jobs](https://github.com/linkedin/datahub/tree/master/metadata-jobs)
* [The RFC Process](rfc.md)