Great Expectations
@expectgreatdata
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We help data teams have confidence in their data, no matter what. GX Cloud, our end-to-end SaaS data quality platform, is powered by the open source GX Core.
Joined February 2018
Adding #dataquality testing to your pipeline is essential to fully trust your data. When you’re ready to make it happen, here’s how GX supports you 👉
greatexpectations.io
How the GX platform makes it easy to add data validation to your pipelines
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Dial in on your data’s distribution, and you can catch bad data before it has a chance to cause problems. Here’s the latest in our series on different dimensions of #dataquality ➡️
greatexpectations.io
Mastering data distribution is your key to trusted analytics
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The complete Q&A from our “Top data quality tactics…” webinar is now available on the blog! Read it here ➡️
greatexpectations.io
Answering questions about Expectations, GX Cloud data source support, and more
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⚡Detect changes to your data’s schema faster and easier in GX Cloud! Here’s how our auto-generated Expectations accelerate your schema monitoring:
greatexpectations.io
Hands-off data quality monitoring for your schemas
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Get data quality monitoring that’s actionable 🎬& informative ℹ️: download our beginner’s guide to data quality tests and learn how to get started! 👉 https://t.co/go2U7y8sqA
pages.greatexpectations.io
Learn the keys to data quality monitoring that delivers information-rich, actionable alerts! Download the beginner’s guide to data quality tests.
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Custom SQL Expectations, dynamic parameters, MS Teams notifications, and more: catch up on what’s new in the GX platform in our latest product update ➡️ https://t.co/M5oPQgiIOu
greatexpectations.io
Expectations get custom SQL, dynamic parameters, and row condition filtering
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New case study alert! 🚨See how GX Cloud helps a small data team keep its #dataquality under control with proactive testing and information-rich alerts—so THINKMD can support healthcare workers in underserved communities:
greatexpectations.io
GX Cloud helps their data team respond quickly and effectively to data quality issues in complex pipelines
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Knowing that you have data quality issues isn’t enough. With limited time and resources, you need to be able to triage what’s going on and then act. Here are 5 tests that help you do that: https://t.co/CMmZT312TB
#dataquality #dataengineering
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Expressive Expectations, example ♾️: use conditions to include (or exclude!) just a subset of your data from a particular Expectation. It’s super simple to get started: https://t.co/69C9WM2uUg
#dataquality #dataengineering
greatexpectations.io
When you want to test a subset of your current data batch, add a condition
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❄️ Our December workshop schedule has been posted and you can sign up today! Join us for Getting started with GX Cloud and Databricks SQL, Tuesday, Dec 3 9am PT 🌟 Register: https://t.co/cEoENOpOU1
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Our new article has four keys to building a great data quality process that produces great results. Give it a read! https://t.co/4eWH9q8cCE
#dataquality #dataqualitytests #datateams
greatexpectations.io
Good data starts with a good process. Here’s how to build one at your company.
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Do you need data validation that can handle those tricky exceptions and exclusions? Try out Expectation conditions! 👉 https://t.co/c46qacaaKt
#dataquality #dataengineering
greatexpectations.io
When you want to test a subset of your current data batch, add a condition
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How can you catch data that’s not unique enough and that’s too unique, all in a single test? There’s an Expectation for that. Learn about it (and 4 other great ones) here: https://t.co/VowmGcFlGX
#dataquality #dataengineering
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Good data starts with a good data quality process. Read our new article to learn how to build one at your company. https://t.co/g1neEcvj0o
#dataquality #dataqualitytests #datateams
greatexpectations.io
Good data starts with a good process. Here’s how to build one at your company.
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Our SVP of engineering, Lawrence Bruhmuller, was featured on the Engineering Leadership Podcast discussing hiring best practices, ensuring candidates maintain your org’s engineering culture, and more. Give it a listen!
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Check out the new custom SQL and dynamic parameter features for Expectations in GX Cloud, and build a #dataquality testing process that’s informative and actionable 👉 https://t.co/moFUssr3sT
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Our new blog dives into some of the top data quality challenges that we hear about from our customers & community: https://t.co/okc1zrGDur
#dataquality #dataanalyst #GXCloud
greatexpectations.io
Here are the top problems standing between data analysts and a productive work day
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Don’t be snowed under by data volume issues—GX Cloud can help! The third entry in our series on the dimensions of #dataquality is here 👉
greatexpectations.io
Understanding and monitoring your data volume is key to unlocking operational excellence
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Some data issues are hard to miss. But when they’re more subtle or occur upstream and out of sight, they can be more insidious. More in our new article: https://t.co/NPYNnV4diQ
#dataquality #dataanalyst #GXCloud
greatexpectations.io
Here are the top problems standing between data analysts and a productive work day
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Our new article has 4 expert tips for deploying bare-bones data quality that puts you in a good position for later—and explains how GX Cloud can help: https://t.co/LSZkKhG7iB
#dataquality #SaaS #datateams
greatexpectations.io
GX Cloud can help when your data quality work is deprioritized but the need for it doesn’t go away.
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