fix: fix minor path

README.md

@@ -81,7 +81,9 @@ Please follow the [DataHub Quickstart Guide](https://datahubproject.io/docs/quic
 If you're looking to build & modify datahub please take a look at our [Development Guide](https://datahubproject.io/docs/developers).
 
 <p align="center">
-  <img width="70%" href="https://demo.datahubproject.io/" src="https://raw.githubusercontent.com/acryldata/static-assets-test/master/imgs/entity.png"/>
+  <a href="https://demo.datahubproject.io/">
+  <img width="70%" src="https://raw.githubusercontent.com/acryldata/static-assets-test/master/imgs/entity.png"/>
+  </a>
 </p>
 
 ## Source Code and Repositories

datahub-web-react/README.md

@@ -126,7 +126,9 @@ for functional configurability should reside.
         to render a view associated with a particular entity type (user, dataset, etc.).
 
 
-![entity-registry](./entity-registry.png)
+<p align="center">
+  <img width="70%"  src="https://raw.githubusercontent.com/acryldata/static-assets-test/master/imgs/entity-registry.png"/>
+</p>
 
 **graphql** - The React App talks to the `dathub-frontend` server using GraphQL. This module is where the *queries* issued
 against the server are defined. Once defined, running `yarn run generate` will code-gen TypeScript objects to make invoking 

docs-website/versioned_docs/version-0.10.4/README.md

@@ -0,0 +1,185 @@
+---
+description: >-
+  DataHub is a data discovery application built on an extensible metadata
+  platform that helps you tame the complexity of diverse data ecosystems.
+hide_title: true
+title: Introduction
+slug: /introduction
+custom_edit_url: "https://github.com/datahub-project/datahub/blob/master/README.md"
+---
+
+import useBaseUrl from '@docusaurus/useBaseUrl';
+
+export const Logo = (props) => {
+return (
+
+<div style={{ display: "flex", justifyContent: "center", padding: "20px", height: "190px" }}>
+<img
+alt="DataHub Logo"
+src={useBaseUrl("/img/datahub-logo-color-mark.svg")}
+{...props}
+/>
+</div>
+);
+};
+
+<Logo />
+
+<!--
+
+<p align="center">
+<img alt="DataHub" src="docs/imgs/datahub-logo-color-mark.svg" height="150" />
+</p>
+<!-- -->
+
+# DataHub: The Metadata Platform for the Modern Data Stack
+
+## Built with ❤️ by <img src="https://datahubproject.io/img/acryl-logo-light-mark.png" width="25"/> [Acryl Data](https://acryldata.io) and <img src="https://datahubproject.io/img/LI-In-Bug.png" width="25"/> [LinkedIn](https://engineering.linkedin.com)
+
+[![Version](https://img.shields.io/github/v/release/datahub-project/datahub?include_prereleases)](https://github.com/datahub-project/datahub/releases/latest)
+[![PyPI version](https://badge.fury.io/py/acryl-datahub.svg)](https://badge.fury.io/py/acryl-datahub)
+[![build & test](https://github.com/datahub-project/datahub/workflows/build%20&%20test/badge.svg?branch=master&event=push)](https://github.com/datahub-project/datahub/actions?query=workflow%3A%22build+%26+test%22+branch%3Amaster+event%3Apush)
+[![Docker Pulls](https://img.shields.io/docker/pulls/linkedin/datahub-gms.svg)](https://hub.docker.com/r/linkedin/datahub-gms)
+[![Slack](https://img.shields.io/badge/slack-join_chat-white.svg?logo=slack&style=social)](https://slack.datahubproject.io)
+[![PRs Welcome](https://img.shields.io/badge/PRs-welcome-brightgreen.svg)](https://github.com/datahub-project/datahub/blob/master/docs/CONTRIBUTING.md)
+[![GitHub commit activity](https://img.shields.io/github/commit-activity/m/datahub-project/datahub)](https://github.com/datahub-project/datahub/pulls?q=is%3Apr)
+[![License](https://img.shields.io/github/license/datahub-project/datahub)](https://github.com/datahub-project/datahub/blob/master/LICENSE)
+[![YouTube](https://img.shields.io/youtube/channel/subscribers/UC3qFQC5IiwR5fvWEqi_tJ5w?style=social)](https://www.youtube.com/channel/UC3qFQC5IiwR5fvWEqi_tJ5w)
+[![Medium](https://img.shields.io/badge/Medium-12100E?style=for-the-badge&logo=medium&logoColor=white)](https://medium.com/datahub-project)
+[![Follow](https://img.shields.io/twitter/follow/datahubproject?label=Follow&style=social)](https://twitter.com/datahubproject)
+
+### 🏠 Hosted DataHub Docs (Courtesy of Acryl Data): [datahubproject.io](/docs)
+
+---
+
+[Quickstart](/docs/quickstart) |
+[Features](/docs/features) |
+[Roadmap](https://feature-requests.datahubproject.io/roadmap) |
+[Adoption](#adoption) |
+[Demo](https://demo.datahubproject.io/) |
+[Town Hall](/docs/townhalls)
+
+---
+
+> 📣 DataHub Town Hall is the 4th Thursday at 9am US PT of every month - [add it to your calendar!](https://rsvp.datahubproject.io/)
+>
+> - Town-hall Zoom link: [zoom.datahubproject.io](https://zoom.datahubproject.io)
+> - [Meeting details](docs/townhalls.md) & [past recordings](docs/townhall-history.md)
+
+> ✨ DataHub Community Highlights:
+>
+> - Read our Monthly Project Updates [here](https://blog.datahubproject.io/tagged/project-updates).
+> - Bringing The Power Of The DataHub Real-Time Metadata Graph To Everyone At Acryl Data: [Data Engineering Podcast](https://www.dataengineeringpodcast.com/acryl-data-datahub-metadata-graph-episode-230/)
+> - Check out our most-read blog post, [DataHub: Popular Metadata Architectures Explained](https://engineering.linkedin.com/blog/2020/datahub-popular-metadata-architectures-explained) @ LinkedIn Engineering Blog.
+> - Join us on [Slack](docs/slack.md)! Ask questions and keep up with the latest announcements.
+
+## Introduction
+
+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.
+
+## Features & Roadmap
+
+Check out DataHub's [Features](docs/features.md) & [Roadmap](https://feature-requests.datahubproject.io/roadmap).
+
+## Demo and Screenshots
+
+There's a [hosted demo environment](https://demo.datahubproject.io/) courtesy of [Acryl Data](https://acryldata.io) where you can explore DataHub without installing it locally
+
+## Quickstart
+
+Please follow the [DataHub Quickstart Guide](/docs/quickstart) to get a copy of DataHub up & running locally using [Docker](https://docker.com). As the guide assumes some basic knowledge of Docker, we'd recommend you to go through the "Hello World" example of [A Docker Tutorial for Beginners](https://docker-curriculum.com) if Docker is completely foreign to you.
+
+## Development
+
+If you're looking to build & modify datahub please take a look at our [Development Guide](/docs/developers).
+
+<p align="center">
+  <img width="70%" href="https://demo.datahubproject.io/" src="https://raw.githubusercontent.com/acryldata/static-assets-test/master/imgs/entity.png"/>
+</p>
+
+## Source Code and Repositories
+
+- [datahub-project/datahub](https://github.com/datahub-project/datahub): This repository contains the complete source code for DataHub's metadata model, metadata services, integration connectors and the web application.
+- [acryldata/datahub-actions](https://github.com/acryldata/datahub-actions): DataHub Actions is a framework for responding to changes to your DataHub Metadata Graph in real time.
+- [acryldata/datahub-helm](https://github.com/acryldata/datahub-helm): Repository of helm charts for deploying DataHub on a Kubernetes cluster
+- [acryldata/meta-world](https://github.com/acryldata/meta-world): A repository to store recipes, custom sources, transformations and other things to make your DataHub experience magical
+
+## Releases
+
+See [Releases](https://github.com/datahub-project/datahub/releases) page for more details. We follow the [SemVer Specification](https://semver.org) when versioning the releases and adopt the [Keep a Changelog convention](https://keepachangelog.com/) for the changelog format.
+
+## Contributing
+
+We welcome contributions from the community. Please refer to our [Contributing Guidelines](docs/CONTRIBUTING.md) for more details. We also have a [contrib](https://github.com/datahub-project/datahub/blob/master/contrib) directory for incubating experimental features.
+
+## Community
+
+Join our [Slack workspace](https://slack.datahubproject.io) for discussions and important announcements. You can also find out more about our upcoming [town hall meetings](docs/townhalls.md) and view past recordings.
+
+## Adoption
+
+Here are the companies that have officially adopted DataHub. Please feel free to add yours to the list if we missed it.
+
+- [ABLY](https://ably.team/)
+- [Adevinta](https://www.adevinta.com/)
+- [Banksalad](https://www.banksalad.com)
+- [Cabify](https://cabify.tech/)
+- [ClassDojo](https://www.classdojo.com/)
+- [Coursera](https://www.coursera.org/)
+- [DefinedCrowd](http://www.definedcrowd.com)
+- [DFDS](https://www.dfds.com/)
+- [Digital Turbine](https://www.digitalturbine.com/)
+- [Expedia Group](http://expedia.com)
+- [Experius](https://www.experius.nl)
+- [Geotab](https://www.geotab.com)
+- [Grofers](https://grofers.com)
+- [Haibo Technology](https://www.botech.com.cn)
+- [hipages](https://hipages.com.au/)
+- [inovex](https://www.inovex.de/)
+- [IOMED](https://iomed.health)
+- [Klarna](https://www.klarna.com)
+- [LinkedIn](http://linkedin.com)
+- [Moloco](https://www.moloco.com/en)
+- [N26](https://n26brasil.com/)
+- [Optum](https://www.optum.com/)
+- [Peloton](https://www.onepeloton.com)
+- [PITS Global Data Recovery Services](https://www.pitsdatarecovery.net/)
+- [Razer](https://www.razer.com)
+- [Saxo Bank](https://www.home.saxo)
+- [Showroomprive](https://www.showroomprive.com/)
+- [SpotHero](https://spothero.com)
+- [Stash](https://www.stash.com)
+- [Shanghai HuaRui Bank](https://www.shrbank.com)
+- [ThoughtWorks](https://www.thoughtworks.com)
+- [TypeForm](http://typeform.com)
+- [Udemy](https://www.udemy.com/)
+- [Uphold](https://uphold.com)
+- [Viasat](https://viasat.com)
+- [Wikimedia](https://www.wikimedia.org)
+- [Wolt](https://wolt.com)
+- [Zynga](https://www.zynga.com)
+
+## Select Articles & Talks
+
+- [DataHub Blog](https://blog.datahubproject.io/)
+- [DataHub YouTube Channel](https://www.youtube.com/channel/UC3qFQC5IiwR5fvWEqi_tJ5w)
+- [Optum: Data Mesh via DataHub](https://optum.github.io/blog/2022/03/23/data-mesh-via-datahub/)
+- [Saxo Bank: Enabling Data Discovery in Data Mesh](https://medium.com/datahub-project/enabling-data-discovery-in-a-data-mesh-the-saxo-journey-451b06969c8f)
+- [Bringing The Power Of The DataHub Real-Time Metadata Graph To Everyone At Acryl Data](https://www.dataengineeringpodcast.com/acryl-data-datahub-metadata-graph-episode-230/)
+- [DataHub: Popular Metadata Architectures Explained](https://engineering.linkedin.com/blog/2020/datahub-popular-metadata-architectures-explained)
+- [Driving DataOps Culture with LinkedIn DataHub](https://www.youtube.com/watch?v=ccsIKK9nVxk) @ [DataOps Unleashed 2021](https://dataopsunleashed.com/#shirshanka-session)
+- [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)
+- [Data Discoverability at SpotHero](https://www.slideshare.net/MaggieHays/data-discoverability-at-spothero)
+- [Data Catalogue — Knowing your data](https://medium.com/albert-franzi/data-catalogue-knowing-your-data-15f7d0724900)
+- [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)
+- [Emerging Architectures for Modern Data Infrastructure](https://future.com/emerging-architectures-for-modern-data-infrastructure-2020/)
+
+See the full list [here](docs/links.md).
+
+## License
+
+[Apache License 2.0](https://github.com/datahub-project/datahub/blob/master/LICENSE).

docs-website/versioned_docs/version-0.10.4/datahub-frontend/README.md

@@ -0,0 +1,97 @@
+---
+title: datahub-frontend
+sidebar_label: datahub-frontend
+slug: /datahub-frontend
+custom_edit_url: >-
+  https://github.com/datahub-project/datahub/blob/master/datahub-frontend/README.md
+---
+
+# DataHub Frontend Proxy
+
+DataHub frontend is a [Play](https://www.playframework.com/) service written in Java. It is served as a mid-tier
+between [DataHub GMS](https://github.com/datahub-project/datahub/blob/master/metadata-service) which is the backend service and [DataHub Web](../datahub-web-react/README.md).
+
+## Pre-requisites
+
+- You need to have [JDK11](https://openjdk.org/projects/jdk/11/)
+  installed on your machine to be able to build `DataHub Frontend`.
+- You need to have [Chrome](https://www.google.com/chrome/) web browser
+  installed to be able to build because UI tests have a dependency on `Google Chrome`.
+
+## Build
+
+`DataHub Frontend` is already built as part of top level build:
+
+```
+./gradlew build
+```
+
+However, if you only want to build `DataHub Frontend` specifically:
+
+```
+./gradlew :datahub-frontend:dist
+```
+
+## Dependencies
+
+Before starting `DataHub Frontend`, you need to make sure that [DataHub GMS](https://github.com/datahub-project/datahub/blob/master/metadata-service) and
+all its dependencies have already started and running.
+
+## Start via Docker image
+
+Quickest way to try out `DataHub Frontend` is running the [Docker image](https://github.com/datahub-project/datahub/blob/master/docker/datahub-frontend).
+
+## Start via command line
+
+If you do modify things and want to try it out quickly without building the Docker image, you can also run
+the application directly from command line after a successful [build](#build):
+
+```
+cd datahub-frontend/run && ./run-local-frontend
+```
+
+## Checking out DataHub UI
+
+After starting your application in one of the two ways mentioned above, you can connect to it by typing below
+into your favorite web browser:
+
+```
+http://localhost:9002
+```
+
+To be able to sign in, you need to provide your user name. The default account is `datahub`, password `datahub`.
+
+## Authentication
+
+DataHub frontend leverages [Java Authentication and Authorization Service (JAAS)](https://docs.oracle.com/javase/7/docs/technotes/guides/security/jaas/JAASRefGuide.html) to perform the authentication. By default we provided a [DummyLoginModule](https://github.com/datahub-project/datahub/blob/master/datahub-frontend/app/security/DummyLoginModule.java) which will accept any username/password combination. You can update [jaas.conf](https://github.com/datahub-project/datahub/blob/master/datahub-frontend/conf/jaas.conf) to match your authentication requirement. For example, use the following config for LDAP-based authentication,
+
+```
+WHZ-Authentication {
+  com.sun.security.auth.module.LdapLoginModule sufficient
+  userProvider="ldaps://<host>:636/dc=<domain>"
+  authIdentity="{USERNAME}"
+  userFilter="(&(objectClass=person)(uid={USERNAME}))"
+  java.naming.security.authentication="simple"
+  debug="false"
+  useSSL="true";
+};
+```
+
+### Authentication in React
+
+The React app supports both JAAS as described above and separately OIDC authentication. To learn about configuring OIDC for React,
+see the [OIDC in React](../docs/authentication/guides/sso/configure-oidc-react.md) document.
+
+### API Debugging
+
+Most DataHub frontend API endpoints are protected using [Play Authentication](https://www.playframework.com/documentation/2.1.0/JavaGuide4), which means it requires authentication information stored in the cookie for the request to go through. This makes debugging using curl difficult. One option is to first make a curl call against the `/authenticate` endpoint and stores the authentication info in a cookie file like this
+
+```
+curl -c cookie.txt -d '{"username":"datahub", "password":"datahub"}' -H 'Content-Type: application/json' http://localhost:9002/authenticate
+```
+
+You can then make all subsequent calls using the same cookie file to pass the authentication check.
+
+```
+curl -b cookie.txt "http://localhost:9001/api/v2/search?type=dataset&input=page"
+```