docs: update for Jun townhall (#2764)

README.md

@@ -28,7 +28,7 @@ HOSTED_DOCS_ONLY-->
 </p>
 <!-- -->
 
-# DataHub: A Generalized Metadata Search & Discovery Tool
+# DataHub: A Metadata Platform for the Modern Data Stack
 
 [![Version](https://img.shields.io/github/v/release/linkedin/datahub?include_prereleases)](https://github.com/linkedin/datahub/releases/latest)
 [![build & test](https://github.com/linkedin/datahub/workflows/build%20&%20test/badge.svg?branch=master&event=push)](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
 

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",

docs-website/src/pages/index.js

@@ -58,8 +58,7 @@ const features = [
         and subsequently{" "}
         <Link to={"https://github.com/linkedin/datahub"}>open-sourced</Link>{" "}
         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() {
               <p className={clsx("hero__subtitle", styles.centerTextMobile)}>
                 {/* DataHub helps you understand your data where it lives. */}
                 {/* DataHub is a stream-first metadata platform that powers multiple vertical applications: powerful search &amp; discovery, data ops &amp; data quality, compliance, data management, and access control. */}
-                Data ecosystems are diverse &#8212; too diverse. DataHub is a
-                data discovery application built on an extensible metadata
-                platform that helps you tame this complexity.
+                Data ecosystems are diverse &#8212; too diverse. DataHub&#39;s
+                extensible metadata platform enables data discovery, data
+                observability and federated governance that helps you tame this
+                complexity.
               </p>
               <div className={styles.buttons}>
                 <Link
@@ -478,8 +478,8 @@ function Home() {
               </h2>
               <p className={styles.larger_on_desktop}>
                 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.
               </p>
             </div>
             <div className="col col--6">

docs/townhalls.md

@@ -5,7 +5,7 @@ Currently it's held on the fourth Friday of every month (with some exceptions su
 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.
 From time to time we also use the opportunity to showcase upcoming features.
 
-## Coming up - May 27th, 2021 @ 9 AM US Pacific
+## Coming up - Jun 25th, 2021 @ 9 AM US Pacific
 
 ## Meeting Invite
 
@@ -16,7 +16,13 @@ You can join with this link https://zoom.datahubproject.io, or [signup](https://
 
 ## Agenda
 
-- Stay tuned!
+- Project Updates by Shirshanka
+   - Release notes
+   - RBAC update
+   - Roadmap for H2 2021
+- Demo: Table Popularity powered by Query Activity by Harshal Sheth
+- Case Study: Business Glossary in production at Saxo Bank by Sheetal Pratik (Saxo Bank), Madhu Podila (ThoughtWorks)
+- Developer Session: Simplified Deployment for DataHub by John Joyce, Gabe Lyons
 
 ## Past Meetings