Great blogs from Great Expectations
Stay up to date on our releases and comments on the current state of data management
Video: Modular Expectations Webinar
Watch our webinar featuring Modular Expectations from the 0.13 release!
Webinar 0.13.0 New Features: Modular Expectations Jan 21 @ 2:00pm ET
Sign up for a huge webinar featuring Modular Expectations from the 0.13 release!
The Love Languages of Open Source Maintainers
How to make the maintainers of Open Source projects happy
How to make your virtual conference not suck
We’re taking stock of our virtual conference experience in 2020 and highlight some of the things that worked and didn't work.
Ensuring data quality in a data warehouse environment with Great Expectations
In this post, we’ll take a look at how Great Expectations can be used to provide data validation and documentation in your data warehouse
dbt Coalesce 2020: Building a robust data pipeline with dbt, Airflow, and Great Expectations
This post contains the slides and some additional material for our dbt Coalesce 2020 conference talk!
Don’t panic! Prefect and Great Expectations have got your data quality covered
We’re excited to announce that we’ve teamed up with the Prefect team to release a (new and improved) integration with Great Expectations!
0.13.0 New Features Webinar: New Capabilities in New-Style Data Sources
Sign up for the first webinar of our 0.13 release focusing on new capabilities in new-style data sources!
Great Expectations 0.13.0 : Crescendo Release
This is our biggest release yet filled with game changing features and updates.
Community Spotlight: Great Expectations and Opsgenie Alerts by Mike Robins
Thanks to Mike Robins, Great Expectations now supports Opsgenie Alerts
An Airflow Operator for Great Expectations
We collaborated with the Astronomer team to release an Airflow operator for Great Expectations!
How DAGs grow: Deeper, wider, and thicker
Introductory note: this blog post is a refresh of a talk that James and I gave at Strata back in 2017. Why recap a 3-year-old conference talk? Well, the core ideas have aged well, we’ve never actually put them into writing before, and we’ve learned some new things in the meantime. Enjoy!
Your data tests failed! Now what?
You think all you need to do to secure your data pipeline is implementing some tests and all your data problems are solved? Unfortunately, it’s not quite that easy...
Community Spotlight: Great Expectations and PagerDuty Alerts by Niall Woodward
Thanks to Niall Woodward Great Expectations now supports PagerDuty Alerts
Watch Great Expectations Community Show and Tell
Watch the video from our first community show and tell!
Continuous Integration for your data with GitHub Actions and Great Expectations
One step closer to CI/CD for your data pipelines
How does Great Expectations fit into ML Ops?
In this second post in our 2-part ML Ops series, we'll outline how data validation and documentation with Great Expectations fit into an ML Ops workflow.
Why data quality is key to successful ML Ops
In this first post in our 2-part ML Ops series, we are going to look at ML Ops and highlight how and why data quality is key to ML Ops workflows.
Great Expectations 301: Great Expectations in a Hosted Environment
Watch the video from our new webinar!
Dagster + Great Expectations = Data quality right in your pipeline
Exciting news: We've partnered with Dagster on a Great Expectations integration!
Watch Great Expectations 201: Customizing for Collaboration Webinar
Watch the video from our new webinar!
Great Expectations 201: Customizing for Collaboration
Sign up to attend our webinar focused on collaboration!
Building a Self-Updating Data Dictionary with Great Expectations (UPDATED)
Extending Great Expectations data documentation makes it possible to build customized sites that are dynamically updated based on new data. Here, we build a self-updating data dictionary.
Anonymized usage statistics
Anonymized stats from the community will help improve Great Expectations.
Let's work together
How does the Great Expectations team engage with users, developers, and contributors?
Choose Your Adventure: Exploring Great Expectations Datasources and Batch Kwargs
Datasources make it possible to interact with data and compute environments together; this blog post walks through some of the core API elements of Great Expectations datasources.
A pod of whales. A murder of crows. A [_____] of data scientists.
The data community weighs in on what we should call ourselves.
Welcome to Great Expectations, FileDataAsset!
The latest Great Expectations release has first-class support for FileDataAssets, with a new set of file-level expectations
Announcing Great Expectations v0.4 (We have SQL...!)
Great Expectations can now execute in native SQL using the SQL Alchemy API. Thanks to everyone who made this (and a bunch of other cool additions) happen!