datahub/docs/links.md

# Articles & Talks

## Overviews
- [Tech Deep Dive: DataHub Metadata Service Authentication](https://blog.datahubproject.io/tech-deep-dive-introducing-datahub-metadata-service-authentication-661e3aabbad0) and [video](https://www.youtube.com/watch?v=DPY0G3Ix7Y8)
- [Data in Context: Lineage Explorer in DataHub](https://blog.datahubproject.io/data-in-context-lineage-explorer-in-datahub-a53a9a476dc4)
- [DataHub Basics — Users, Groups, & Authentication 101](https://www.youtube.com/watch?v=8Osw6p9vDYY)
- [DataHub Basics: Lineage 101](https://www.youtube.com/watch?v=rONGpsndzRw)

## Best Practices
- [Tags and Terms: Two Powerful DataHub Features, Used in Two Different Scenarios](https://blog.datahubproject.io/tags-and-terms-two-powerful-datahub-features-used-in-two-different-scenarios-b5b4791e892e)

## Case Studies
- [Enabling Data Discovery in a Data Mesh: The Saxo Journey](https://blog.datahubproject.io/enabling-data-discovery-in-a-data-mesh-the-saxo-journey-451b06969c8f)
- [DataHub @ Grofers Case Study](https://www.youtube.com/watch?v=m9kUYAuezFI)
- [DataHub @ LinkedIn: Extending the OSS UI](https://www.youtube.com/watch?v=Rdt4kJqDoww)
- [DataHub @ hipages Case Study: Oct 29 2021](https://www.youtube.com/watch?v=OFNzjUdMcJQ)
- [DataHub @ Adevinta Case Study: Sept 24 2021 Community Town Hall](https://www.youtube.com/watch?v=u9DRa_5uPIM)
- [DataHub at Bizzy (Case Study): Aug 27 2021 Community Meeting](https://www.youtube.com/watch?v=SuhLRr3QKt8)


## Related 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)
* [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)
* [LinkIn Datahub Metadata Ingestion Scripts Unofficical Guide](https://medium.com/@liangjunjiang/linkin-datahub-etl-unofficical-guide-7c3949483f8b)
* [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://www.kdnuggets.com/2019/08/linkedin-uber-lyft-airbnb-netflix-solving-data-management-discovery-machine-learning-solutions.html)
* [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)
* [Application Performance Monitor and Distributed Tracing with Apache SkyWalking in Datahub](https://medium.com/@liangjunjiang/application-performance-monitor-and-distributed-tracing-with-apache-skywalking-in-datahub-16bc65e6c670)
* [Emerging Architectures for Modern Data Infrastructure](https://a16z.com/2020/10/15/the-emerging-architectures-for-modern-data-infrastructure/)
* [Almost Everything You Need To Know on Data Discovery Platforms](https://eugeneyan.com/writing/data-discovery-platforms/)
* [Creating Notebook-based Dynamic Dashboards](https://towardsdatascience.com/creating-notebook-based-dynamic-dashboards-91f936adc6f3)

## Talks & Presentations
* [DataHub: Powering LinkedIn's Metadata](https://github.com/acryldata/static-assets-test/raw/master/imgs/demo/DataHub_-_Powering_LinkedIn_Metadata.pdf) @ [Budapest Data Forum 2020](https://budapestdata.hu/2020/en/)
* [Taming the Data Beast Using DataHub](https://www.youtube.com/watch?v=bo4OhiPro7Y) @ [Data Engineering Melbourne Meetup November 2020](https://www.meetup.com/Data-Engineering-Melbourne/events/kgnvlrybcpbjc/)
* [Metadata Management And Integration At LinkedIn With DataHub](https://www.dataengineeringpodcast.com/datahub-metadata-management-episode-147/) @ [Data Engineering Podcast](https://www.dataengineeringpodcast.com)
* [The evolution of metadata: LinkedIn’s story](https://speakerdeck.com/shirshanka/the-evolution-of-metadata-linkedins-journey-strata-nyc-2019) @ [Strata Data Conference 2019](https://conferences.oreilly.com/strata/strata-ny-2019.html)
* [Journey of metadata at LinkedIn](https://www.youtube.com/watch?v=OB-O0Y6OYDE) @ [Crunch Data Conference 2019](https://crunchconf.com/2019)
* [DataHub Journey with Expedia Group](https://www.youtube.com/watch?v=ajcRdB22s5o)
* [Saxo Bank's Data Workbench](https://www.slideshare.net/SheetalPratik/linkedinsaxobankdataworkbench)
* [Data Discoverability at SpotHero](https://www.slideshare.net/MaggieHays/data-discoverability-at-spothero)

## Non-English
* [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)
* [DataHub: универсальный инструмент поиска и обнаружения метаданных](https://habr.com/ru/post/520930/)
* [DataHub с открытым исходным кодом: платформа поиска и обнаружения метаданных от LinkedIn](https://habr.com/ru/post/521536/)