Table of Contents
great_expectations utility helps data teams eliminate pipeline debt, through data testing, documentation, and profiling.
Getting Started #
If you haven't already, follow the initial steps of the Getting Started guide:
Installation and configuration #
great_expectationsutility to your project using
meltano add utility great_expectations
Configure the settings below using
Next steps #
- Create expectations suites and checkpoints!
Add additional database drivers #
If you are using Great Expectations to validate data in a database or warehouse, you
might need to install the appropriate drivers. Common options are supported by Great Expectations
as pip extras, and any additional packages you may want can be added too by configuring
pip_url for the
- Find the
great_expectationsplugin definition in your
pip_urlproperty to include the desired additional extras and packages:
utilities: - name: great_expectations variant: great-expectations pip_url: great_expectations[redshift] awscli
Re-install the plugin:
meltano install utility great_expectations
The next time you run Great Expectations, you will be able to connect to a new type of database, like Redshift in the example.If you run into any issues, learn how to get help.
Great Expectations Home Directory (
How to use #
Looking for help? #
If you're having trouble getting the
great_expectations utility to work, look for an
existing issue in its repository, file a new issue,
join the Meltano Slack community
and ask for help in the
Found an issue on this page? #
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