Learn How to Build a GenAI App with Fivetran and Databricks in Our Live Hands-on Demo

What you’ll see during the live hands on demo: 1) Create a Fivetran connector to an Enterprise relational database source with a custom dataset and sync that data to the Databricks Data Intelligence Platform. 2) Use Databricks to Transform the new dataset to build a retrieval-augmented generation (RAG) dataset that can be used in a GenAI application. 3) Create a Native Application in Databricks (a GenAI assistant) that will use Cortex and leverage that data set. 4) See what you can do using RAG with different Databricks LLMs to see which ones are best for your Enterprise data. What you’ll gain from the hands on demo You’ll gain practical knowledge and experience in creating Fivetran data pipelines. You’ll also understand how to integrate an enterprise dataset and retrieval-augmented generation with existing LLMs to develop a practical GenAI application in the Databricks ecosystem. This demo will help you become more comfortable with Fivetran and Databricks and better prepare you for the GenAI applications you consider, approve, build or use in your organisation in the Databricks Data Intelligence Platform.