An Apache Airflow provider for Great Expectations
Project description
Apache Airflow Provider for Great Expectations
Early development as of 11/16/2020
An Airflow operator for Great Expectations, a Python library for testing and validating data.
Installation
Pre-requisites: An environment running great_expectations
and apache-airflow
, of course.
pip install airflow-provider-great-expectations
Modules
Great Expectations Operator: A base operator for Great Expectations. Import into your DAG via:
from great_expectations_provider.operators.great_expectations import GreatExpectationsOperator
Examples
See the examples directory for an example DAG with some sample tasks that demonstrate operator functionality. The example DAG file contains a comment with instructions on how to run the examples.
**This operator is in very early stages of development! Feel free to submit issues, PRs, or ping the current author (Sam Bail) in the Great Expectations Slack for feedback. Thanks to Pete DeJoy and the Astronomer.io team for the support.
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