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27 lines
2.8 KiB
Markdown
27 lines
2.8 KiB
Markdown
# Articles
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* [DataHub: A Generalized Metadata Search & Discovery Tool](https://engineering.linkedin.com/blog/2019/data-hub)
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* [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)
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* [The evolution of metadata: LinkedIn’s story @ Strata Data Conference 2019](https://speakerdeck.com/shirshanka/the-evolution-of-metadata-linkedins-journey-strata-nyc-2019)
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* [Data Catalogue — Knowing your data](https://medium.com/albert-franzi/data-catalogue-knowing-your-data-15f7d0724900)
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* [LinkedIn Datahub Application Architecture Quick Understanding](https://medium.com/@liangjunjiang/linkedin-datahub-application-architecture-quick-understanding-a5b7868ee205)
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* [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)
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* [Data Discovery in 2020](https://medium.com/@torokyle/data-discovery-in-2020-3c907383caa0)
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* [Work-Bench Snapshot: The Evolution of Data Discovery & Catalog](https://medium.com/work-bench/work-bench-snapshot-the-evolution-of-data-discovery-catalog-2f6c0425616b)
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* [In-house Data Discovery platforms](https://datastrategy.substack.com/p/in-house-data-discovery-platforms)
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* [A Data Engineer’s Perspective On Data Democratization](https://towardsdatascience.com/a-data-engineers-perspective-on-data-democratization-a8aed10f4253)
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* [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/)
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* [4 Data Trends to Watch in 2020](https://medium.com/memory-leak/4-data-trends-to-watch-in-2020-491707902c09)
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# Talks & Presentations
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* [Journey of metadata at LinkedIn @ Crunch Data Conference 2019](https://www.youtube.com/watch?v=OB-O0Y6OYDE)
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* [DataHub Journey with Expedia Group by Arun Vasudevan](https://www.youtube.com/watch?v=ajcRdB22s5o)
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# Non-English Articles
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* [LinkedIn元数据之旅的最新进展—Data Hub](https://zhuanlan.zhihu.com/p/80459081)
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* [数据治理篇: 元数据之datahub-概述](https://www.jianshu.com/p/04630b0c63f7)
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* [DataHub——实时数据治理平台](https://www.cnblogs.com/tree1123/p/12840871.html)
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* [数据治理工具-元数据管理](https://blog.csdn.net/weixin_42526352/article/details/105371012)
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* [元数据管理框架的独舞](https://mp.weixin.qq.com/s/J6xtX3js70brdN3c_7ZkNg)
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* [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)
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* [Linkedin bringt Open-Source-Datahub](https://www.itmagazine.ch/artikel/71532/Linkedin_bringt_Open-Source-Datahub.html)
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