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  • https://greatexpectations.io/

  • Male
  • 03/15/91
  • Working at Great Expectations
  • Living in United States
  • Located in 6975 S Union Park Ave, Suite 600, Cottonwood Heights, Utah 84047, United States
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About

Great Expectations is a modern data reliability company delivering advanced data governance tools and validation capabilities through its GX Platform. Built on the widely adopted open-source GX Core framework and enhanced with the fully managed GX Cloud environment, the platform enables organizations to define, test, and monitor data quality across pipelines. Teams can encode business rules as “Expectations,” automate checks, and enforce consistent standards across datasets, making data governance a scalable, collaborative process rather than a manual task.
The GX Platform offers powerful solutions for organizations that want to strengthen trust in analytics and AI. Through intuitive dashboards, automated validations, and workflow integrations, teams can detect anomalies, schedule checks, and monitor data health in real time. These capabilities position GX among modern data governance tools that help companies move beyond simple monitoring and instead define clear data standards that can be applied across teams, pipelines, and business units.
GX Cloud also provides flexible pricing options designed to support individual enterprise teams. The GX Cloud pricing model includes a free tier with limited users and validated data assets, while Team and Enterprise plans provide expanded collaboration, governance features, and advanced support. Pricing scales based on the number of data assets under validation, ensuring organizations can expand their quality workflows without unexpected cost increases.
Great Expectations offers extensive documentation, learning guides, integrations, and community resources that help teams adopt best practices for reliable data management. These resources guide users in evaluating data validation tools pricing, implementing automated tests, and building scalable data quality processes that support analytics, reporting, and AI initiatives across modern data ecosystems.

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