Session
The Modern Databricks Notebook: Tips, AI workflows, and Best Practices for Every Practitioner
Overview
| Experience | In Person |
|---|---|
| Track | Analytics & BI |
| Industry | Enterprise Technology |
| Technologies | AI/BI |
| Skill Level | Intermediate |
Databricks Notebooks are the heartbeat of data and AI work, but most practitioners only scratch the surface of what they can do. Whether you are writing your first cell or building production-grade pipelines, this session is a practical guide to getting more out of the modern notebook experience.Topics include:- Core authoring productivity: side-by-side editing, tab groups, TOC and minimap, and smarter cell management- Running and exploring data with result table profiling, filter-to-SQL, and targeted SQL execution- AI in your notebook with AI functions for SQL and Python, plus Genie Code for agentic development- Engineering best practices with the notebook debugger, unit testing, and Serverless session restore- A live end-to-end workflow that brings everything together
Session Speakers
Samantha Banchik
/Product Manager
Databricks