Chuck Data Sample Data

[**Chuck Data**](https://chuckdata.ai/) is an open source data engineering agent that runs directly on your Databricks

With Chuck you can use natural language to plan a use case and execute it in your Databricks account.

Chuck's first plugin brings Amperity's best in the world machine learning identity resolution directly to your Databricks account.

This means you can simply say to Chuck, "Stitch these tables together" and Chuck will create a job and generate a robust identity graph with transparent scoring directly in your catalog.

For more information about the Amperity Stitch algorithm: https://docs.amperity.com/reference/stitch.html

These data sets will make it easy for you to try out Stitch on a sample data set to get a feel for the way Chuck works and the kind of output it generates.

Prerequisites:
- Developer API access to a Databricks workspace
- Full usage access to a catalog including the access to manage schemas and volumes
- Stitch is a enterprise grade ID resolution job that distributes the work over many VMs. Default cloud accounts, especially Azure, have quotas that limit how much compute you can use. You may need to increase your quotas. For example in Azure you would increase "Standard EDSv4 Family vCPUs" quota to at least 160
- Some comfort with CLI tools

To use these with Chuck you will need to COPY the data sets into a normal catalog. Databricks doesn't allow for writing or creating schemas in Delta Shared catalogs.