Resultado de búsqueda
23 de feb. de 2022 · Great Expectations is a tool that helps teams eliminate pipeline debt through data testing, documentation and profiling. I’ve been meaning to explore and evaluate this tool to determine if it is feasible to integrate with our existing environment and whether it could potentially ameliorate apparent constraints in our current process and prevent major refactoring efforts when we migrate data ...
1 de mar. de 2023 · De ahí la necesidad de que los datos tengan la calidad esperada para que la toma de decisiones sea acertada. Por ello, si quieres maximizar la calidad de los datos con los que trabajas en el día a día entonces tienes que conocer Great Expectations (GX), una librería de Python para la creación y aplicación de validaciones de calidad sobre ...
23 de feb. de 2022 · Great Expectations: Build the Shared, Open Standard of Data Quality Create tests, known as Expectations, for data in Geospatial, Semantic Types and Ethical AI. This hackathon has ended. Find more hackathons View the winners. Who can participate. Above legal age of majority in country of residence;
Expectations enhance communication about your data and improve quality for data applications. They help you take the implicit assumptions about your data and make them explicit. Using Expectations helps reduce trips to domain experts and avoids leaving insights about data on the "cutting room floor." Great Expectations' built-in library ...
Great Expectations Cofounder James Campbell presents a demo of the open-source data quality platform Great Expectations.00:00 Introducing James Campbell and ...
15 de oct. de 2021 · Step 2 — Adding a Datasource. In this step, you will configure a Datasource in Great Expectations, which allows you to automatically create data assertions called Expectations as well as validate data with the tool. While in your project directory, run the following command: great_expectations --v3-api datasource new.
Great Expectations is the leading open source tool for defeating pipeline debt through data testing, documentation, and profiling. Data teams all over the world use Great Expectations to boost the ...
