Expectation Spotlight: expect column min to be between Expectations make it easy to set a range for your statistical checks. This sets guardrails against data that meets a simple floor-ceiling test, but has distribution problems. More here: hubs.li/Q02FX43F0 #dataquality

Expectation Spotlight: Expect value count to be between This Expectation helps you identify issues like missing values in particular fields, or unexpected consistency in a field in which you expect variation. More here: hubs.li/Q02FWM7z0 #dataquality

Automating a manual task is always a great feeling… and now you can have that feeling about your data quality process! Just automate your data validation with GX Cloud’s scheduling 🗓️ Learn more 👉 hubs.li/Q02HHs_80

⚡Get your end-to-end data quality process off to a lightning-fast start: directly connect to your data with GX Cloud. Learn more on the GX blog: hubs.li/Q02JM-0G0

A precise, actionable definition of a data quality process and how to start building yours: our latest post on the GX blog 👉hubs.li/Q02KjSSR0

At our next community meetup on Wed Aug 28 (9amPT), we’ll be celebrating the official release of GX 1.0! Join us for a demo and Q&A, time permitting 👉hubs.li/Q02LvNy70

Introducing the two components of the GX platform: GX Core and GX Cloud. Here’s how they work together to drive pristine data quality and make life easier for data teams. hubs.li/Q02Mg0040

🎉 GX Core 1.0 is HERE! 🎉 This new version of our open source Python framework has a more accessible API, simpler workflows, and more intuitive docs. 🚀 Learn more on the blog 👉hubs.li/Q02MMTfK0

Don’t settle for a data quality solution that only gets half the job done. The GX platform—GX Cloud + GX Core— is an end-to-end solution that helps you manage your entire data quality process. Here’s an intro: hubs.li/Q02MfCMQ0

Catch up on how GX Cloud benefits from GX Core 1.0, its improved workflow for creating multiple Data Assets, and more in our August product recap! ☀️hubs.li/Q02NSfQX0 #dataquality #GXCloud #GXCore

GX Cloud’s August updates are dialing in the user experience to make your workflows smoother. Read our newest article to learn how: hubs.li/Q02NS0Vn0 #dataquality #GXCloud #GXCore

📩 Get email alerts from GX Cloud when your Data Asset has a failed Expectation, so you can respond and remediate faster! Learn more in the GX blog 👉hubs.li/Q02Pnw0n0

Getting a purposeful, intentional data quality program off the ground can be daunting. Our new article shows how GX Cloud makes it easy: hubs.li/Q02PL24r0 #dataquality #GXCloud #GXCore

🧭 We’re exploring 7 types of data quality issues, and how GX can help! Our first stop: schema validation 👉 hubs.li/Q02Qbjjb0

The top 5 reasons you should be using GX Cloud to make implementing your data quality process easy: hubs.li/Q02PL5SC0 #dataquality #GXCloud #GXCore

📣Heads up, Databricks SQL users: you can now test your data in GX Cloud! Sign up and start monitoring your #DatabricksSQL data’s quality 👉 hubs.li/Q02Qw3-f0

New on the blog: two tips and a sample message 📨 to help you pitch your next data quality project to your boss. hubs.li/Q02QC_wl0 #dataquality #managingup #dataarchitect #dataengineer

Missing data can be a menace, but GX can help! The latest entry in our series on different types of data quality issues 👉 hubs.li/Q02QC_WB0

Does your boss understand the importance of good data quality as well as you do? If not, you’re not alone. The good news is there are ways to get their buy-in. Find them here: hubs.li/Q02QDbgB0 #dataquality #managingup #dataarchitect #dataengineer

Data and analytics tools are a sprawling ecosystem inside your company. GX Cloud is the keystone of that ecosystem. Here’s why: hubs.li/Q02RTW_20 #dataquality #GXCloud #dataanalysis #dataengineers