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Preparing Your Local DataHub Environment

Deploy DataHub Quickstart​

You'll need a local instance of DataHub running for this tutorial:

python3 -m pip install --upgrade pip wheel setuptools
python3 -m pip install --upgrade acryl-datahub

If you can see datahub version like this, you're good to go. 

$ datahub version
DataHub CLI version: 0.10.0.1
Python version: 3.9.6 (default, Jun 16 2022, 21:38:53)
[Clang 13.0.0 (clang-1300.0.27.3)]

Run datahub quickstart. This will deploy local datahub server to http://localhost:9002 

datahub docker quickstart

After logging in with the default credential(username: datahub / password: datahub), you can see DataHub ready for you.

datahub-main-ui

Please refer to DataHub Quickstart Guide for more information.

Ingest Sample Data​

We will use sample data provided with datahub quickstart. If you already have data on your datahub, you might skip this part. 

datahub docker ingest-sample-data

This will ingest various entities like datasets, terms and tags to your local DataHub. datahub-main-ui

Now you're ready to start!