Thanks to everyone who joined our Community Meetup this month! If you missed the event this time, Sign up here to join the next one!
Before getting into the rundown, we announced that we're adding Expectation packages for specific domains and a hackathon focusing on developing some select packages in February (official hackathon announcement coming in a few weeks). We would love to hear from the community which Expectation packages you would like to see, please suggest a package here
Enjoy the rundown below.
Community Metrics and Product Roadmap Update
What we covered
Promote V3 API (BatchRequest) to primary (done)
Improve docs, esp. onboarding, and core skills/concepts
Streamline ecosystem partnerships + deployment patterns
Release V3 docs for custom Expectations
Launch and iterate on Expectation Gallery
We've been listening to the Great Expectations community and it is clear that we need to improve our documentation. We are finally showing some serious results in our efforts, starting with the Getting Started documentation. In this video, Rachel explains what we've improved and what we are in the process of improving.
Community Spotlight: Airflow Great Expectations Operator with Benjamin Lampel from Astronomer
In this video, Benjamin Lampel goes over the improvements to the Great Expectations Airflow operator how to use Great Expectations in an Airflow DAG to perform data quality checks.
To learn more about Adding Data Quality to DAGs ft. Great Expectations we highly recommend this blog from the Astronomer team: https://www.astronomer.io/blog/adding-data-quality-to-dags-ft-great-expectations
Next month's Meetup, we are hosting YData! Read their blog "How to Validate the Quality of Your Synthetic Data by @fab_clemente"
Thanks to everyone who joined the community event. Can't wait to see you all at the next one! If you are interested in demoing anything Great Expectations related or want us to feature your data quality content please DM me on our Slack