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docs: update for Jun townhall (#2764)
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README.md
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README.md
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<!-- -->
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# DataHub: A Generalized Metadata Search & Discovery Tool
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# DataHub: A Metadata Platform for the Modern Data Stack
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[](https://github.com/linkedin/datahub/releases/latest)
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[](https://github.com/linkedin/datahub/releases/latest)
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[](https://github.com/linkedin/datahub/actions?query=workflow%3A%22build+%26+test%22+branch%3Amaster+event%3Apush)
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[](https://github.com/linkedin/datahub/actions?query=workflow%3A%22build+%26+test%22+branch%3Amaster+event%3Apush)
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---
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---
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> 📣 Next DataHub town hall meeting on May 27th, 9am-10am PDT ([convert to your local time](https://greenwichmeantime.com/time/to/pacific-local/))
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> 📣 Next DataHub town hall meeting on Jun 25th, 9am-10am PDT ([convert to your local time](https://greenwichmeantime.com/time/to/pacific-local/))
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>
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>
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> - Topic Proposals: [submit here](https://docs.google.com/forms/d/1v2ynbAXjJlqY97xE_X1DAntNrXDznOFiNfryUkMPtkI/)
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> - Topic Proposals: [submit here](https://docs.google.com/forms/d/1v2ynbAXjJlqY97xE_X1DAntNrXDznOFiNfryUkMPtkI/)
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> - Signup to get a calendar invite: [here](https://docs.google.com/forms/d/1r9bObXKS3tgKpISqqO3rw4yQog5zwuaFxg8IrJGUbvQ/)
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> - Signup to get a calendar invite: [here](https://docs.google.com/forms/d/1r9bObXKS3tgKpISqqO3rw4yQog5zwuaFxg8IrJGUbvQ/)
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> ✨ Latest Update:
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> ✨ Latest Update:
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>
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>
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> - Monthly project update: [Apr 2021 Edition](https://medium.com/datahub-project/linkedin-datahub-project-updates-2b0d26066b8f?source=friends_link&sk=686c47219ed294e0838ae3e2fe29084d).
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> - Monthly project update: [May 2021 Edition](https://medium.com/datahub-project/linkedin-datahub-project-updates-ed98cdf913c1?source=friends_link&sk=9930ec5579299b155ea87c747683d1ad).
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> - Unleashing Excellent DataOps with LinkedIn DataHub: [DataOps Unleashed Talk](https://www.youtube.com/watch?v=ccsIKK9nVxk).
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> - Unleashing Excellent DataOps with LinkedIn DataHub: [DataOps Unleashed Talk](https://www.youtube.com/watch?v=ccsIKK9nVxk).
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> - Latest blog post [DataHub: Popular Metadata Architectures Explained](https://engineering.linkedin.com/blog/2020/datahub-popular-metadata-architectures-explained) @ LinkedIn Engineering Blog.
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> - Latest blog post [DataHub: Popular Metadata Architectures Explained](https://engineering.linkedin.com/blog/2020/datahub-popular-metadata-architectures-explained) @ LinkedIn Engineering Blog.
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> - We've released v0.7.1. You can find release notes [here](https://github.com/linkedin/datahub/releases/tag/v0.7.1)
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> - We've released v0.8.3. You can find release notes [here](https://github.com/linkedin/datahub/releases/tag/v0.8.3)
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> - We're on [Slack](docs/slack.md) now! Ask questions and keep up with the latest announcements.
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> - We're on [Slack](docs/slack.md) now! Ask questions and keep up with the latest announcements.
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## Introduction
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## Introduction
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DataHub is LinkedIn's generalized metadata search & discovery tool. Read about the architectures of different metadata systems and why DataHub excels [here](https://engineering.linkedin.com/blog/2020/datahub-popular-metadata-architectures-explained). Also read our
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DataHub is an open-source metadata platform for the modern data stack. Read about the architectures of different metadata systems and why DataHub excels [here](https://engineering.linkedin.com/blog/2020/datahub-popular-metadata-architectures-explained). Also read our
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[LinkedIn Engineering blog post](https://engineering.linkedin.com/blog/2019/data-hub), check out our [Strata presentation](https://speakerdeck.com/shirshanka/the-evolution-of-metadata-linkedins-journey-strata-nyc-2019) and watch our [Crunch Conference Talk](https://www.youtube.com/watch?v=OB-O0Y6OYDE). You should also visit [DataHub Architecture](docs/architecture/architecture.md) to get a better understanding of how DataHub is implemented and [DataHub Onboarding Guide](docs/how/entity-onboarding.md) to understand how to extend DataHub for your own use cases.
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[LinkedIn Engineering blog post](https://engineering.linkedin.com/blog/2019/data-hub), check out our [Strata presentation](https://speakerdeck.com/shirshanka/the-evolution-of-metadata-linkedins-journey-strata-nyc-2019) and watch our [Crunch Conference Talk](https://www.youtube.com/watch?v=OB-O0Y6OYDE). You should also visit [DataHub Architecture](docs/architecture/architecture.md) to get a better understanding of how DataHub is implemented and [DataHub Onboarding Guide](docs/how/entity-onboarding.md) to understand how to extend DataHub for your own use cases.
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## Quickstart
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## Quickstart
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## Source Code and Repositories
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## Source Code and Repositories
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- [linkedin/datahub](https://github.com/linkedin/datahub): This repository contains the complete source code for both DataHub's frontend & backend services. We currently follow a hybrid open source model for development in this repository. See [this blog post](https://engineering.linkedin.com/blog/2020/open-sourcing-datahub--linkedins-metadata-search-and-discovery-p) for details on how we do it.
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- [linkedin/datahub](https://github.com/linkedin/datahub): This repository contains the complete source code for both DataHub's frontend & backend services.
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- [linkedin/datahub-gma](https://github.com/linkedin/datahub-gma): This repository contains the source code for DataHub's metadata infrastructure libraries (Generalized Metadata Architecture, or GMA). We follow an open-source-first model for development in this repository.
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- [linkedin/datahub-gma](https://github.com/linkedin/datahub-gma): This repository contains the source code for DataHub's metadata infrastructure libraries (Generalized Metadata Architecture, or GMA).
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## Documentation
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## Documentation
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module.exports = {
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module.exports = {
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title: "DataHub",
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title: "DataHub",
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tagline: "A Generalized Metadata Search & Discovery Tool",
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tagline: "A Metadata Platform for the Modern Data Stack",
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url: "https://datahubproject.io",
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url: "https://datahubproject.io",
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baseUrl: "/",
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baseUrl: "/",
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onBrokenLinks: "throw",
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onBrokenLinks: "throw",
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and subsequently{" "}
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and subsequently{" "}
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<Link to={"https://github.com/linkedin/datahub"}>open-sourced</Link>{" "}
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<Link to={"https://github.com/linkedin/datahub"}>open-sourced</Link>{" "}
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under the Apache 2.0 License. It now has a thriving community with over
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under the Apache 2.0 License. It now has a thriving community with over
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75 contributors, and many organizations are trying out or already using
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a hundred contributors, and is widely used at many companies.
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DataHub internally.
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</>
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</>
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),
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),
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},
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},
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<p className={clsx("hero__subtitle", styles.centerTextMobile)}>
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<p className={clsx("hero__subtitle", styles.centerTextMobile)}>
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{/* DataHub helps you understand your data where it lives. */}
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{/* DataHub helps you understand your data where it lives. */}
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{/* DataHub is a stream-first metadata platform that powers multiple vertical applications: powerful search & discovery, data ops & data quality, compliance, data management, and access control. */}
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{/* DataHub is a stream-first metadata platform that powers multiple vertical applications: powerful search & discovery, data ops & data quality, compliance, data management, and access control. */}
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Data ecosystems are diverse — too diverse. DataHub is a
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Data ecosystems are diverse — too diverse. DataHub's
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data discovery application built on an extensible metadata
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extensible metadata platform enables data discovery, data
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platform that helps you tame this complexity.
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observability and federated governance that helps you tame this
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complexity.
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</p>
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</p>
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<div className={styles.buttons}>
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<div className={styles.buttons}>
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<Link
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<Link
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</h2>
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</h2>
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<p className={styles.larger_on_desktop}>
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<p className={styles.larger_on_desktop}>
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DataHub is the one-stop shop for documentation, schemas,
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DataHub is the one-stop shop for documentation, schemas,
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ownership, lineage, and pipelines. Usage and data quality
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ownership, lineage, pipelines and usage information. Data
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information coming soon.
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quality and data preview information coming soon.
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</p>
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</p>
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</div>
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</div>
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<div className="col col--6">
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It's the perfect venue to meet the team behind DataHub and other users, as well as to ask higher-level questions, such as roadmap and product direction.
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It's the perfect venue to meet the team behind DataHub and other users, as well as to ask higher-level questions, such as roadmap and product direction.
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From time to time we also use the opportunity to showcase upcoming features.
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From time to time we also use the opportunity to showcase upcoming features.
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## Coming up - May 27th, 2021 @ 9 AM US Pacific
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## Coming up - Jun 25th, 2021 @ 9 AM US Pacific
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## Meeting Invite
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## Meeting Invite
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## Agenda
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## Agenda
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- Stay tuned!
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- Project Updates by Shirshanka
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- Release notes
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- RBAC update
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- Roadmap for H2 2021
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- Demo: Table Popularity powered by Query Activity by Harshal Sheth
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- Case Study: Business Glossary in production at Saxo Bank by Sheetal Pratik (Saxo Bank), Madhu Podila (ThoughtWorks)
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- Developer Session: Simplified Deployment for DataHub by John Joyce, Gabe Lyons
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## Past Meetings
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## Past Meetings
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