Community Roundup: April 2022
We get the community together on the third Tuesday of every month. At each meetup, we discuss the Great Expectations Roadmap, watch ecosystem integration demos, and explore different ways data leaders have implemented Great Expectations. Sign up here to join the next one!
Now, let's dive into the roundup.
Nearly tripling the number of Expectations in our gallery
Why we dropped support for Python 3.6
How Data Assistants make it easier than ever before to create and discover new Expectations
How new Data Connectors make it easier to connect to data
What you can expect in the rest of Q2
For April’s feature demo, Alex Sherstinsky gave us a glimpse into the functionality of Data Assistants. Check out the video:
Questions? Feedback? Jump into our Slack channel.
This month the spotlight was on Meltano.
Ken Payne introduced Meltano, an Open Source DataOps OS that enables teams to easily implement DataOps best practices. He then walked us through how Great Expectations and Meltano work together to take data pipelines to the next level of quality and stability.
Check out the video:
And access the documentation here.
Join the Conversation
Whether you’re a fledgling data practitioner or a seasoned data expert, our community welcomes you! Here are some conversations happening now:
For next month's Meetup, we’re hosting Capital One to present DataProfilers Package!
We’re hiring! Check out our open roles.
We attended Data Council last month. Here are our 5 biggest takeaways.
Alex Strick van Linschoten, an open-source enthusiast and member of the Great Expectations community, is writing a blog series on how to trust the data you feed your models. In part one, he makes a case for including data validation. Check it out here.
Etai from Secoda shared this excellent Modern Data Definitions Glossary
Have you done something cool with Great Expectations that you'd like to share? If you're interested in demoing or have a piece of data quality content that you'd like us to feature, DM me on our Slack.