Great Expectations installation and configuration workflow
Setting up Great Expectations (GX) includes installing GX and initializing your deployment. Optionally, you can customize the configuration of some components, such as Stores, Data Docs, and Plugins.
After you've completed the setup for your production deployment, you can access all GX features from your Data ContextThe primary entry point for a Great Expectations deployment, with configurations and methods for all supporting components.. Also, your StoresA connector to store and retrieve information about metadata in Great Expectations. and Data DocsHuman readable documentation generated from Great Expectations metadata detailing Expectations, Validation Results, etc. will be optimized for your business requirements.
To set up Data SourcesProvides a standard API for accessing and interacting with data from a wide variety of source systems., Expectation SuitesA collection of verifiable assertions about data., and CheckpointsThe primary means for validating data in a production deployment of Great Expectations. see the specific topics for these components.
If you don't want to manage your own configurations and infrastructure, then Great Expectations Cloud might be the solution. If you're interested in participating in the Great Expectations Cloud Beta program, or you want to receive progress updates, sign up for the Beta program.
Windows support for the open source Python version of GX is currently unavailable. If you’re using GX in a Windows environment, you might experience errors or performance issues.