Lakebase: AI’s New Secret Weapon

In the world of data, Postgres SQL databases are a trusted workhorse for Data Engineers, powering fast and reliable ACID transactions. Now imagine that same power, but fully integrated into the Databricks ecosystem. Enter Lakebase, Databricks’ self-managed Postgres database that makes ETL and Reverse ETL a breeze, separates compute from storage, and gives you the flexibility you’ve always wanted.

But here’s the twist: Lakebase isn’t just for your classic data engineering workflows. It’s quietly becoming a game-changer for AI and LLMOps. Think about it! AI models thrive on structured, high-quality data, and Lakebase provides exactly that, right where your lakehouse lives. From feature stores to real-time inference pipelines, Lakebase opens doors to workflows that were previously clunky or slow.

This session will explore the weird and wonderful ways Lakebase can supercharge AI delivery on Databricks. We’ll cover practical examples like:
• Using Lakebase as a feature store for AI pipelines
• Simplifying prompt engineering with structured data pipelines
• Building low-latency inference endpoints without leaving the Databricks ecosystem

There will also be demos you can take home and start using straight away.

Understand how Lakebase integrates with Databricks to simplify AI workflows. Learn practical use cases for Lakebase in LLMOps, including feature stores and inference. Take away demos and actionable techniques to accelerate AI delivery.