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Visit WebsiteHow Avanade uses GX to detect data drift from upstream model changes in machine learning pipelines
Avanade
Steve Nelson
Data Scientist
Great Expectations
Great Expectations is the leading open source Python library for data testing, documentation, and profiling. It delivers the intuitive experience of a fully managed SaaS solution while harnessing the power of the world's most popular data quality framework. With GX Cloud, data teams can work quickly, collaborate effectively, and always know what to expect from their data.
Case Studies
Showing 9 Great Expectations Customer Success Stories
How Calm uses GX to create data quality alerts and avert critical data issues in Airflow DAGs
Calm
Kamla Kasichainula
Data Engineering Team
How Heineken uses GX to provide instant data quality validation and feedback to upstream data providers
Heineken
Madelon Hulsebos
Data Scientist
How Komodo Health uses GX to safeguard their data pipelines with quality checks and UAT verification
Komodo Health
How LOGEX safeguards healthcare data with GX
Logex
Maria Zilli
Data Engineer
How Provectus uses GX to monitor data pipelines, validate accuracy, and produce observable test results
Provectus
Andrew Khakhariev
Provectus
How Rent the Runway uses GX to make data more accessible and find errors faster
Rent the Runway
Danielle Dalton
Data Engineer
How THINKMD improves frontline patient care with GX Cloud
ThinkMD
Kathy Coughlin
Software Project Manager
How Vimeo uses GX to ensure data freshness and overcome their data quality issues
Vimeo
Evan Calzolaio
BI Engineering Team
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