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Community Roundup: May 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.

Roadmap Update

We covered:

• Powerful and expressive batch metric

• Cross-table expectations

• Conditional expectations

• Pervasive type hints

• Improved dependency management 

• And more!

Feature Demo

For May’s feature demo, Rob Lim shared how he expanded Great Expectation’s reach to the physical world. Check out the video: 

Questions? Feedback? Jump into our Slack channel. 

Community Spotlight

This month the spotlight was on Capital One, and we were joined by two members of their development team—Jeremy Goodsitt and Taylor Turner.

First, Jeremy introduced Data Profiler—an open source project from Capital One that performs sensitive data analysis on a wide range of data types. Then, Taylor dove into the Great Expectations partnership. He shared the Expectations they’ve already contributed and their plan for continued development with Great Expectations.

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: 

• Has anyone ever hosted data docs in a kubernetes pod?

• Do any of you guys use DBT with GE? If so, how do you guys organize it?

• BigQuery Temp Table Support

• Help wanted: Support for WSL (both versions)

Additional Updates

• For next month's Meetup, we’re hosting Trino!

• We’re hiring! Check out our open roles

• We just wrapped up our Spring Hackathon. Get the highlights

• Check out part two of Alex Strick van Linschoten's blog series on how to trust the data you feed your models. (He's an open-source enthusiast and member of the Great Expectations community)

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.