Install and manage GX 1.0

To use GX 1.0, you'll install Python, the GX Python library, and additional dependencies for your deployment environment or your preferred Data Source.

Install GX 1.0 and dependencies

After you install GX 1.0, you might need to install additional Python libraries or third party utilities for your deployment environment or your preferred Data Sources.

Install GX 1.0

Install Python and the GX 1.0 Python library.

Amazon S3

Install and set up support for Amazon S3 and GX

Azure Blob Storage

Install and set up support for Azure Blob Storage and GX

Google Cloud Storage

Install and set up support for Google Cloud Storage and GX

SQL databases

Install and set up support for SQL Data Sources and GX

Manage a GX 1.0 project

A Data Context is your entry point to managing a Great Expectations (GX) project. It tells GX where to store metadata such as your configurations for Data Sources, Expectation Suites, Checkpoints, and Data Docs. It contains your Validation Results and the metrics associated with them. The Data Context also provides access to those objects in Python, along with other helper functions for the GX Python API.

Manage Data Contexts

Create, retrieve, and manage Data Contexts (your entry point to the GX API) in a Python script.

Manage Credentials

Securely store and access the credentials needed for certain environments and Data Sources.

Manage Stores

Manage the locations that GX stores configuration information

Manage Data Docs

Host and share human readable documentation about your Expectations and Validation Results.