Samantha Banchik

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

Databricks Assistant helps you get from initial exploration all the way to production faster and easier than ever. In this session, we'll show you how Assistant simplifies and accelerates common workflows, boosting your productivity across notebooks and the SQL editor. You'll get practical tips, see end-to-end examples in action, and hear about the latest capabilities we're excited about. We'll also discuss how we're continually improving Assistant to make your development experience faster, more contextual and more customizable. Join us to discover how to get the most out of Databricks Assistant and empower your team to build better and faster.