Krishna Bhupatiraju

Databricks Genie allows users to talk to their data, but its answers are only as good as the semantic layer beneath it. The Data Platform team shares how we are "supercharging" our internal Genie deployment by feeding it highly structured Metric Views. We will discuss the art of curating data specifically for GenAI consumption, ensuring that natural language queries yield accurate, trustworthy SQL generation. If you want to deploy AI/BI that actually works, you need to see how we structure our data for it.

Ingesting data from SaaS systems sounds straightforward—until you hit API limits, miss SLAs, or accidentally ingest PII. Sound familiar? In this talk, we’ll share how Databricks evolved from scrappy ingestion scripts to a unified, secure, and scalable ingestion platform. Along the way, we’ll highlight the hard lessons, the surprising pitfalls, and the tools that helped us level up. Whether you’re just starting to wrangle third-party data or looking to scale while handling governance and compliance, this session will help you think beyond pipelines and toward platform thinking.