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Introduction to Great Expectations, an Open Source Data Science Tool by@kyleweaton
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Introduction to Great Expectations, an Open Source Data Science Tool

by Kyle EatonSeptember 11th, 2020
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This is the first completed webinar of our “Great Expectations 101” series. The goal of this webinar is to show you what it takes to deploy and run Great Expectations successfully. By the end of the video you’ll be able to:Create and edit Expectation Suites.Configure new Datasources.Understand what Great Expectation does under the hood.Validate your data with Great Expectings.Navigate validation output in Data Docs.

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This is the first completed webinar of our “Great Expectations 101” series. The goal of this webinar is to show you what it takes to deploy and run Great Expectations successfully.

By the end of the video you’ll be able to:

  • Create and edit Expectation Suites
  • Configure new Datasources
  • Understand what Great Expectations does under the hood
  • Validate your data with Great Expectations
  • Navigate validation output in Data Docs

We will continue to host more sessions on how to implement and utilize Great Expectations. To be informed of future events like this please sign up to be informed here: 

We also announce events in our 

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