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  1. Great Expectations (GX) is a tool that helps you test, document, and collaborate on your data quality. GX integrates with various data sources and orchestrators, and offers a flexible and intuitive approach to data validation with Expectations.

    • Log in

      Maintaining data quality doesn’t have to be hard. GX Cloud...

    • GX CLOUD

      Go from first login to first test result in minutes, with GX...

    • GX OSS

      And by defining Actions alongside your Expectations, you can...

    • INTEGRATIONS

      Great Expectations makes it easy to integrate data quality...

    • DOCUMENTATION

      Great Expectations documentation. Learn everything you need...

    • EXPECTATIONS GALLERY

      GX's Expectation Gallery: a rich, collaboration-ready...

    • CASE STUDIES

      EXPECTATIONS GALLERY. BLOG. CASE STUDIES. PRICING. PRICING....

    • CAREERS

      Life at Great Expectations. We represent a variety of...

  2. Great Expectations documentation. Learn everything you need to know about GX Cloud and GX Open Source Software (OSS)

  3. GX's Expectation Gallery: a rich, collaboration-ready vocabulary for data quality—hundreds of ways to describe what you expect from your data. Start exploring!

  4. 1 de mar. de 2023 · ¿Qué es GX? Great Expectations (GX) es una librería open source, implementada en Python, para validar datos en formato tabular, representados en dataframes de Pandas y Spark, así como en Bases de datos SQL.

  5. Great Expectations is a Python-based open source library that helps data science and data engineering teams test and document their data. It provides Expectations, Data Docs, and support for various data sources and stores.

  6. Great Expectations is the leading tool for validating, documenting, and profiling your data to maintain quality and improve communication between teams.

  7. 15 de jun. de 2023 · Hace unas semanas ya os contamos qué es Great Expectations, la librería para maximizar la calidad de los datos. Continuamos con esta serie de post y en este nuevo artículo vamos a explicar cómo usar el Data Assistant que nos ayudará a obtener Expectation automáticamente.