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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!