# 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) * [Datahub - RPubs](https://rpubs.com/Priya_Shaji/dataHub) * [A Dive Into Metadata Hubs](https://www.holistics.io/blog/a-dive-into-metadata-hubs/) * [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) * [Metadata Management And Integration At LinkedIn With DataHub @ Data Engineering Podcase](https://www.dataengineeringpodcast.com/datahub-metadata-management-episode-147/) * [DataHub Journey with Expedia Group](https://www.youtube.com/watch?v=ajcRdB22s5o) * [Saxo Bank's Data Workbench](https://www.slideshare.net/SheetalPratik/linkedinsaxobankdataworkbench) # Non-English Articles * [LinkedIn元数据之旅的最新进展—Data Hub](https://blog.csdn.net/DataPipeline/article/details/100155781) * [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://segmentfault.com/a/1190000022563622) * [数据治理工具-元数据管理](https://blog.csdn.net/weixin_42526352/article/details/105371012) * [元数据管理框架的独舞](https://mp.weixin.qq.com/s/J6xtX3js70brdN3c_7ZkNg) * [【DataHub】DataHub QuickStart](https://www.jianshu.com/p/eb34e7088c77) * [数据治理工具调研之DataHub](https://www.cnblogs.com/CodingJacob/p/di2jiang-gong-ju-diao-yan-zhidatahub.html) * [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)