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16 changes: 3 additions & 13 deletions README.md
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Expand Up @@ -77,24 +77,14 @@ We welcome contributions from the community. Please refer to our [Contributing G
## 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).

## Related Articles & Presentations
## Select Articles & Talks
* [DataHub: A Generalized Metadata Search & Discovery Tool](https://engineering.linkedin.com/blog/2019/data-hub)
* [Open sourcing DataHub: LinkedIn’s metadata search and discovery platform](https://engineering.linkedin.com/blog/2020/open-sourcing-datahub--linkedins-metadata-search-and-discovery-p)
* [The evolution of metadata: LinkedIn’s story @ Strata Data Conference 2019](https://speakerdeck.com/shirshanka/the-evolution-of-metadata-linkedins-journey-strata-nyc-2019)
* [Journey of metadata at LinkedIn @ Crunch Data Conference 2019](https://www.youtube.com/watch?v=OB-O0Y6OYDE)
* [DataHub Journey with Expedia Group by Arun Vasudevan](https://www.youtube.com/watch?v=ajcRdB22s5o)
* [Data Catalogue — Knowing your data](https://medium.com/albert-franzi/data-catalogue-knowing-your-data-15f7d0724900)
* [LinkedIn Datahub Application Architecture Quick Understanding](https://medium.com/@liangjunjiang/linkedin-datahub-application-architecture-quick-understanding-a5b7868ee205)
* [How LinkedIn, Uber, Lyft, Airbnb and Netflix are Solving Data Management and Discovery for Machine Learning Solutions](https://towardsdatascience.com/how-linkedin-uber-lyft-airbnb-and-netflix-are-solving-data-management-and-discovery-for-machine-9b79ee9184bb)
* [Data Discovery in 2020](https://medium.com/@torokyle/data-discovery-in-2020-3c907383caa0)
* [Work-Bench Snapshot: The Evolution of Data Discovery & Catalog](https://medium.com/work-bench/work-bench-snapshot-the-evolution-of-data-discovery-catalog-2f6c0425616b)
* [In-house Data Discovery platforms](https://datastrategy.substack.com/p/in-house-data-discovery-platforms)
* [A Data Engineer’s Perspective On Data Democratization](https://towardsdatascience.com/a-data-engineers-perspective-on-data-democratization-a8aed10f4253)
* [25 Hot New Data Tools and What They DON’T Do](https://blog.amplifypartners.com/25-hot-new-data-tools-and-what-they-dont-do/)
* [4 Data Trends to Watch in 2020](https://medium.com/memory-leak/4-data-trends-to-watch-in-2020-491707902c09)
* [LinkedIn元数据之旅的最新进展—Data Hub](https://zhuanlan.zhihu.com/p/80459081)
* [数据治理篇: 元数据之datahub-概述](https://www.jianshu.com/p/04630b0c63f7)
* [DataHub——实时数据治理平台](https://www.cnblogs.com/tree1123/p/12840871.html)
* [数据治理工具-元数据管理](https://blog.csdn.net/weixin_42526352/article/details/105371012)
* [LinkedIn gibt die Datenplattform DataHub als Open Source frei](https://www.heise.de/developer/meldung/LinkedIn-gibt-die-Datenplattform-DataHub-als-Open-Source-frei-4663773.html)
* [Linkedin bringt Open-Source-Datahub](https://www.itmagazine.ch/artikel/71532/Linkedin_bringt_Open-Source-Datahub.html)

See the full list [here](https://github.com/linkedin/datahub/blob/mars-lan-patch-2/docs/links.md).
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# Articles
* [DataHub: A Generalized Metadata Search & Discovery Tool](https://engineering.linkedin.com/blog/2019/data-hub)
* [Open sourcing DataHub: LinkedIn’s metadata search and discovery platform](https://engineering.linkedin.com/blog/2020/open-sourcing-datahub--linkedins-metadata-search-and-discovery-p)
* [The evolution of metadata: LinkedIn’s story @ Strata Data Conference 2019](https://speakerdeck.com/shirshanka/the-evolution-of-metadata-linkedins-journey-strata-nyc-2019)
* [Data Catalogue — Knowing your data](https://medium.com/albert-franzi/data-catalogue-knowing-your-data-15f7d0724900)
* [LinkedIn Datahub Application Architecture Quick Understanding](https://medium.com/@liangjunjiang/linkedin-datahub-application-architecture-quick-understanding-a5b7868ee205)
* [How LinkedIn, Uber, Lyft, Airbnb and Netflix are Solving Data Management and Discovery for Machine Learning Solutions](https://towardsdatascience.com/how-linkedin-uber-lyft-airbnb-and-netflix-are-solving-data-management-and-discovery-for-machine-9b79ee9184bb)
* [Data Discovery in 2020](https://medium.com/@torokyle/data-discovery-in-2020-3c907383caa0)
* [Work-Bench Snapshot: The Evolution of Data Discovery & Catalog](https://medium.com/work-bench/work-bench-snapshot-the-evolution-of-data-discovery-catalog-2f6c0425616b)
* [In-house Data Discovery platforms](https://datastrategy.substack.com/p/in-house-data-discovery-platforms)
* [A Data Engineer’s Perspective On Data Democratization](https://towardsdatascience.com/a-data-engineers-perspective-on-data-democratization-a8aed10f4253)
* [25 Hot New Data Tools and What They DON’T Do](https://blog.amplifypartners.com/25-hot-new-data-tools-and-what-they-dont-do/)
* [4 Data Trends to Watch in 2020](https://medium.com/memory-leak/4-data-trends-to-watch-in-2020-491707902c09)

# Talks & Presentations
* [Journey of metadata at LinkedIn @ Crunch Data Conference 2019](https://www.youtube.com/watch?v=OB-O0Y6OYDE)
* [DataHub Journey with Expedia Group by Arun Vasudevan](https://www.youtube.com/watch?v=ajcRdB22s5o)

# Non-English Articles
* [LinkedIn元数据之旅的最新进展—Data Hub](https://zhuanlan.zhihu.com/p/80459081)
* [数据治理篇: 元数据之datahub-概述](https://www.jianshu.com/p/04630b0c63f7)
* [DataHub——实时数据治理平台](https://www.cnblogs.com/tree1123/p/12840871.html)
* [数据治理工具-元数据管理](https://blog.csdn.net/weixin_42526352/article/details/105371012)
* [LinkedIn gibt die Datenplattform DataHub als Open Source frei](https://www.heise.de/developer/meldung/LinkedIn-gibt-die-Datenplattform-DataHub-als-Open-Source-frei-4663773.html)
* [Linkedin bringt Open-Source-Datahub](https://www.itmagazine.ch/artikel/71532/Linkedin_bringt_Open-Source-Datahub.html)