Community Roundup: July 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:

• Upcoming launches

• Our current focus: how we’re creating a seamless integration with Great Expectations Cloud

• The v16 release (Fall 2022), including smoothing out the onboarding experience, new Data Connectors, and Metrics Storage 

• And more!

Feature Demo

For July’s feature demo, Austin Robinson shared how to create a new class of Expectation, Query-Based Expectations. Query-Based Expectations allow Great Expectations to process your data query as a metric and provide the results back to you. Check out the video: 

New documentation will be available next week and we’ll update this blog. 

Questions? Feedback? Jump into our Slack channel. 

Community Spotlight

This month the spotlight was on Secoda and we were joined by Etai Mizrahi - cofounder of Secoda. 

Etai introduced Secoda, which functions as a search engine for company data. He covered where Great Expectations is stored and how to get it set up with Secoda, how the integration works, and the results of the integration. He showed how the integration queries Great Expectations metadata and pulls it into Secoda. Test information is made available in Secoda, allowing you to view the status of your tests and configure notifications.


 

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: 

• Idriss asked about best practices for testing data freshness/recency

• New GitHub Discussions:

  • How to add sampling to "RuntimeBatchRequest"

  • Expectation on Snowflake starts with schema scan 

  • Aligning Notification integrations (Slack, Email, OpsGene, Teams, Pager Duty, etc...)

Additional Updates

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

  • Hamza Tahir presenting ZenML and its integration with Great Expectations

  • Bogdan Volodarskiy from Provectus presenting “Data Quality Comparison on AWS Glue and Great Expectations”

• We’re hiring! Check out our open roles

• Why does data quality matter for machine learning? You are what you eat. 

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.