3.Great Expectations V1: The Foundation (Setup, Data Context, and Why V1 Fluent API?) скачать в хорошем качестве

3.Great Expectations V1: The Foundation (Setup, Data Context, and Why V1 Fluent API?)

Great Expectations (GX) is a comprehensive framework designed to maintain data quality and foster trust across technical teams. The provided documentation primarily focuses on GX Core, a Python library that allows developers to programmatically define, connect to, and validate data through a structured four-step workflow. Users begin by establishing a Data Context, connecting to various Data Sources, and defining Expectations, which act as verifiable assertions about the data's integrity. These rules are then grouped into Expectation Suites and executed via Checkpoints to generate detailed Validation Results and human-readable Data Docs. Beyond the open-source library, the platform offers GX Cloud, a managed SaaS solution that simplifies scaling and collaboration for production environments. Detailed installation guides are provided for various setups, including local Python environments, Databricks, and EMR Spark clusters. By integrating these tools, data teams can catch pipeline issues early and ensure consistent governance across complex data infrastructures.