Walkthrough Tutorial

Data Exchange provides an easy-to-use platform for standardizing and enriching industry data. This tutorial introduces the concepts of deploying a Data Exchange to standardize a set of provided sample data and preparing that data for integration with other systems, as well as for Generative AI pipelines.

Objectives

With this tutorial, you will:

• Deploy a Data Exchange and all other required resources.
• Use Data Exchange to standardize your industry data.
• Prepare language data and vectorized data for Generative AI pipelines.
• Prepare data for integration with other systems.

Tutorial Steps

1. Set Up Prerequisite OCI Resources and Data Exchange Resources
2. Load Raw Data
3. Create and Sync a Data Collection
4. Create Language Views and Query Data

Oracle Energy and Water Industry Sample Data

This tutorial’s example industry scenario is based on an energy utility company, UtilityCo, hoping to engage customers on a specific portion of the electrical grid for energy reduction communication. An objective of this scenario is to determine which customers are served by a specific portion of the grid that is experiencing stressed usage.