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Quickstart |Documentation |Features |Roadmap |Adoption |Demo |Town Hall
📣 Next DataHub town hall meeting on May 26th, 9am-10am PDT (convert to your local time) Topic Proposals: submit here Signup to get a calendar invite: here Town-hall Zoom link: zoom.datahubproject.io Meeting details & past recordings ✨ Latest Update: Read our Monthly Project Updates here. Bringing The Power Of The DataHub Real-Time Metadata Graph To Everyone At Acryl Data: Data Engineering Podcast Unleashing Excellent DataOps with LinkedIn DataHub: DataOps Unleashed Talk. Latest blog post DataHub: Popular Metadata Architectures Explained @ LinkedIn Engineering Blog. We're on Slack now! Ask questions and keep up with the latest announcements.
📣 Next DataHub town hall meeting on May 26th, 9am-10am PDT (convert to your local time)
✨ Latest Update:
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. Also read ourLinkedIn Engineering blog post, check out our Strata presentation and watch our Crunch Conference Talk. You should also visit DataHub Architecture to get a better understanding of how DataHub is implemented.
Please follow the DataHub Quickstart Guide to get a copy of DataHub up & running locally using Docker. 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 if Docker is completely foreign to you.
If you're looking to build & modify datahub please take a look at our Development Guide.
There's a hosted demo environment where you can play around with DataHub before installing.
We have documentation available at https://datahubproject.io/docs/.
See Releases page for more details. We follow the SemVer Specification when versioning the releases and adopt the Keep a Changelog convention for the changelog format.
Check out DataHub's Features & Roadmap.
We welcome contributions from the community. Please refer to our Contributing Guidelines for more details. We also have a contrib directory for incubating experimental features.
If you need to understand how to extend our model with custom types, please see Extending the Metadata Model
Join our slack workspace for discussions and important announcements. You can also find out more about our upcoming town hall meetings and view past recordings.
Here are the companies that have officially adopted DataHub. Please feel free to add yours to the list if we missed it.
See the full list here.
Apache License 2.0.
git clone datahub-project-datahub_-_2022-08-10_18-34-03.bundle
on August 10, 2022