Community roundup: October 2023

Featuring guest speakers from SAS and YData, product updates, and more

Erin Kapp
October 18, 2023
Erin Kapp
October 18, 2023
October 2023 event cover with title 'Guest speakers: Lavanya Ganesh (SAS) and Miriam Santos (YData)' and two cartoon people looking engaged/thoughtful

At this month’s meetup, we: 

  • Shared the latest accomplishments of the community

  • Got the latest on product updates

  • Learned about using GX with SAS Studio from Lavanya Ganesh (SAS)

  • Heard about using GX with synthetic data from Miriam Santos (YData)

We had two great speakers this month—check out the recording if you missed it:

Sign up here to join us in November.

Thanks and kudos

Thank you to all of our contributors this month, who put in their own time and effort to make Great Expectations better!

This month, our featured contributors are:

October 2023 featured GitHub contributors
  • A new Expectation, expect_multicolumn_sum_values_to_be_equal_to_single_column, is now available for Spark, Pandas, and SQLAlchemy courtesy of calvingdu.

  • GX now allows you to separate out

    values from other
    , which lets you see which rows failed while minimizing potential PII exposure, thanks to Mouad Moussabbih.

The GX Slack community has more than 11,000 members, and our Slack supporters are a cornerstone of that community. Kudos to the top Slack supporters this month:

October 2023 top Slack supporters

Roadmap update

Recent work on the GX platform has included:

  • Cleaning up the codebase

  • Renaming the default directory for file-backed projects to prevent namespace collisions with the package

  • Adding a new overview page for Data Assets in GX Cloud, with descriptive column metrics

  • GX Cloud also got a new way to generate missingness-centered Expectations automatically

Coming up next are several updates to GX Cloud, including splitting and batching and Expectation history!

Great Expectations unleashed in SAS Studio

Lavanya Ganesh, at SAS Studio, gave a great talk about how SAS Studio uses GX to automate data quality:

In addition to a live demo, Lavanya also shared some of the upcoming plans SAS has for this product as well as links to their GitHub repo for their open source integrations.

Creating synthetic data that meets Expectations

Miriam Santos, a data science advocate at YData, delivered a excellent explanation of how pairing GX’s data quality with YData-generated synthetic data can augment your datasets to get better machine learning outcomes:

YData has a community event coming up next week, so if this topic piqued your interest then check it out! And don’t miss the blog about this that Miriam wrote with Haebichan Jung, a senior developer advocate at GX. 

Additional updates

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 @Mollie Pettit on our Slack.

Like our blogs?

Sign up for emails and get more blogs and news

Great Expectations email sign-up

Hello friend of Great Expectations!

Our email content features product updates from the open source platform and our upcoming Cloud product, new blogs and community celebrations.

Error message placeholder

Error message placeholder

Error message placeholder

Error message placeholder

Error message placeholder

Error message placeholder

Error message placeholder

Error message placeholder

Error message placeholder

Banner Image

Search our blog for the latest on data management

©2023 Great Expectations. All Rights Reserved.