- Install docker and docker-compose (if using Linux). Make sure to allocate enough hardware resources for Docker engine. Tested & confirmed config: 2 CPUs, 8GB RAM, 2GB Swap area.
- Open Docker either from the command line or the desktop app and ensure it is up and running.
- Clone this repo and
cdinto the root directory of the cloned repository.
- Run the following command to download and run all Docker containers locally:This step takes a while to run the first time, and it may be difficult to tell if DataHub is fully up and running from the combined log. Please use this guide to verify that each container is running correctly../docker/quickstart.sh
- At this point, you should be able to start DataHub by opening http://localhost:9002 in your browser. You can sign in using
datahubas username and any password (no password validation by default). However, you'll notice that no data has been ingested yet.
- To ingest provided sample data to DataHub, switch to a new terminal window,
cdinto the cloned
datahubrepo, and run the following command:After running this, you should be able to see and search sample datasets in DataHub../docker/ingestion/ingestion.sh
- That's it! To get some real data into DataHub, take a look at the ingestion framework.
Please refer to the debugging guide if you encounter any issues during the quickstart.