/gx_tutorials

Primary LanguageJupyter NotebookApache License 2.0Apache-2.0

Great Expectations tutorials

This repository contains the material for a number of Great Expectations tutorials. They all contain instructions in the respective README files.

We invite community contributions for these tutorials!

getting_started_tutorial_final_v3_api

This example contains the final state of the "Getting started with Great Expectations" tutorial for the Great Expectations API v3 (Batch Kwargs API), which is included in Great Expectations version 0.13 and above. It also acts as a starting point to explore and demo Great Expectations. See the README in the directory for details.

getting_started_tutorial_final_v2_api

This example contains the final state of the "Getting started with Great Expectations" tutorial for the Great Expectations API v2 (Batch Kwargs API) which applies to Great Expectations version 0.12.x and below. It also acts as a starting point to explore and demo Great Expectations. See the README in the directory for details.

gx_dbt_airflow_tutorial

This example demonstrates the use of Great Expectations in a data pipeline with dbt and Apache Airflow. See the README in the directory for details. Note This tutorial currently requires an update to work with the new-style Checkpoints that were introduced in version 0.13.8.

gx_glue_catalog_tutorial

This example contains a quickstart notebook and terraform code to setup required resources into your AWS account to show how Great Expectations can be used together with AWS Glue Data Catalog to validate your data lake through tables organized into databases.