diff --git a/README.md b/README.md index e85a4f5b64..e7006ee249 100644 --- a/README.md +++ b/README.md @@ -28,7 +28,7 @@ HOSTED_DOCS_ONLY-->
-# DataHub: A Generalized Metadata Search & Discovery Tool +# DataHub: A Metadata Platform for the Modern Data Stack [](https://github.com/linkedin/datahub/releases/latest) [](https://github.com/linkedin/datahub/actions?query=workflow%3A%22build+%26+test%22+branch%3Amaster+event%3Apush) @@ -54,7 +54,7 @@ HOSTED_DOCS_ONLY--> --- -> 📣 Next DataHub town hall meeting on May 27th, 9am-10am PDT ([convert to your local time](https://greenwichmeantime.com/time/to/pacific-local/)) +> 📣 Next DataHub town hall meeting on Jun 25th, 9am-10am PDT ([convert to your local time](https://greenwichmeantime.com/time/to/pacific-local/)) > > - Topic Proposals: [submit here](https://docs.google.com/forms/d/1v2ynbAXjJlqY97xE_X1DAntNrXDznOFiNfryUkMPtkI/) > - Signup to get a calendar invite: [here](https://docs.google.com/forms/d/1r9bObXKS3tgKpISqqO3rw4yQog5zwuaFxg8IrJGUbvQ/) @@ -63,15 +63,15 @@ HOSTED_DOCS_ONLY--> > ✨ Latest Update: > -> - Monthly project update: [Apr 2021 Edition](https://medium.com/datahub-project/linkedin-datahub-project-updates-2b0d26066b8f?source=friends_link&sk=686c47219ed294e0838ae3e2fe29084d). +> - Monthly project update: [May 2021 Edition](https://medium.com/datahub-project/linkedin-datahub-project-updates-ed98cdf913c1?source=friends_link&sk=9930ec5579299b155ea87c747683d1ad). > - Unleashing Excellent DataOps with LinkedIn DataHub: [DataOps Unleashed Talk](https://www.youtube.com/watch?v=ccsIKK9nVxk). > - Latest blog post [DataHub: Popular Metadata Architectures Explained](https://engineering.linkedin.com/blog/2020/datahub-popular-metadata-architectures-explained) @ LinkedIn Engineering Blog. -> - We've released v0.7.1. You can find release notes [here](https://github.com/linkedin/datahub/releases/tag/v0.7.1) +> - We've released v0.8.3. You can find release notes [here](https://github.com/linkedin/datahub/releases/tag/v0.8.3) > - We're on [Slack](docs/slack.md) now! Ask questions and keep up with the latest announcements. ## Introduction -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 +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 [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. ## Quickstart @@ -86,8 +86,8 @@ There's a [hosted demo environment](https://datahubproject.io/docs/demo) where y ## Source Code and Repositories -- [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. -- [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. +- [linkedin/datahub](https://github.com/linkedin/datahub): This repository contains the complete source code for both DataHub's frontend & backend services. +- [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). ## Documentation diff --git a/docs-website/docusaurus.config.js b/docs-website/docusaurus.config.js index a95b47ac11..6ea368eb53 100644 --- a/docs-website/docusaurus.config.js +++ b/docs-website/docusaurus.config.js @@ -1,6 +1,6 @@ module.exports = { title: "DataHub", - tagline: "A Generalized Metadata Search & Discovery Tool", + tagline: "A Metadata Platform for the Modern Data Stack", url: "https://datahubproject.io", baseUrl: "/", onBrokenLinks: "throw", diff --git a/docs-website/src/pages/index.js b/docs-website/src/pages/index.js index 7406f3d5ac..8818c83256 100644 --- a/docs-website/src/pages/index.js +++ b/docs-website/src/pages/index.js @@ -58,8 +58,7 @@ const features = [ and subsequently{" "} open-sourced{" "} under the Apache 2.0 License. It now has a thriving community with over - 75 contributors, and many organizations are trying out or already using - DataHub internally. + a hundred contributors, and is widely used at many companies. > ), }, @@ -262,9 +261,10 @@ function Home() {{/* DataHub helps you understand your data where it lives. */} {/* 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. */} - Data ecosystems are diverse — too diverse. DataHub is a - data discovery application built on an extensible metadata - platform that helps you tame this complexity. + Data ecosystems are diverse — too diverse. DataHub's + extensible metadata platform enables data discovery, data + observability and federated governance that helps you tame this + complexity.
DataHub is the one-stop shop for documentation, schemas, - ownership, lineage, and pipelines. Usage and data quality - information coming soon. + ownership, lineage, pipelines and usage information. Data + quality and data preview information coming soon.