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Great blogs from Great Expectations

Stay up to date on our releases and comments on the current state of data management

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Community Spotlight: Great Expectations and Opsgenie Alerts by Mike Robins
Thanks to Mike Robins, Great Expectations now supports Opsgenie Alerts
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An Airflow Operator for Great Expectations
We collaborated with the Astronomer team to release an Airflow operator for Great Expectations!
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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!
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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...
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Community Spotlight: Great Expectations and PagerDuty Alerts by Niall Woodward
Thanks to Niall Woodward Great Expectations now supports PagerDuty Alerts
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Watch Great Expectations Community Show and Tell
Watch the video from our first community show and tell!
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Continuous Integration for your data with GitHub Actions and Great Expectations
One step closer to CI/CD for your data pipelines
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Great Expectations Community Show and Tell
Join our first ever community show and tell!
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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.
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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.
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Great Expectations 301: Great Expectations in a Hosted Environment
Watch the video from our new webinar!
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Dagster + Great Expectations = Data quality right in your pipeline
Exciting news: We've partnered with Dagster on a Great Expectations integration!
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Not all SQL is created equal
How Great Expectations guarantees data cross-infrastructure consistency
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Watch Great Expectations 201: Customizing for Collaboration Webinar
Watch the video from our new webinar!
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Great Expectations 201: Customizing for Collaboration
Sign up to attend our webinar focused on collaboration!
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Watch Great Expectations 101: Getting Started Webinar
Watch the video from our new webinar series!
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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.
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Great Expectations 101: Getting Started Webinar
Announcing a new webinar series!
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Anonymized usage statistics
Anonymized stats from the community will help improve Great Expectations.
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Let's work together
How does the Great Expectations team engage with users, developers, and contributors?
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Staying Safe During a Pandemic by Sleeping.
Bad sleep puts you and your community at risk.
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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.
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Who’s On Call? How We Do Community Support.
Our new process for community support
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Just One More Stratification!
Or: How to say “no” as a data person
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Data Day Texas 2020
Slides and impressions from my first time at ddtx.
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A pod of whales. A murder of crows. A [_____] of data scientists.
The data community weighs in on what we should call ourselves.
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New Digs; New Energy
That’s right, Great Expectations has a new website!!!
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Great Expectations now supports execution in Spark!
A blog post with much clapping...
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Welcome to Great Expectations, FileDataAsset!
The latest Great Expectations release has first-class support for FileDataAssets, with a new set of file-level expectations
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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!
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Down with Pipeline debt / Introducing Great Expectations
Pipeline debt is a species of technical debt that infests data systems. We’re releasing Great Expectations, an open-source tool that make it easy to test data pipelines. Come take it for a spin!