Meet DuckDB, the in-process analytical database that’s making a splash with data professionals everywhere. Think of it as SQLite for analytics — fast, lightweight, and perfect for local data exploration. In this session, we’ll see how DuckDB can query CSV and Parquet files directly from your laptop, with no server setup or cloud dependency required.

You’ll also learn how DuckDB integrates seamlessly with Jupyter Notebooks, bringing together SQL and Python in one environment. Whether you’re exploring datasets, prototyping transformations, or testing ETL logic, DuckDB can be your local analytics engine that just works.

Come learn how to make your data fly (or at least quack) — with live demos, notebook examples, and practical takeaways you can start using today.

Key Takeaways:

1. Run fast SQL queries locally on flat files — no cluster required
2. Combine DuckDB with Jupyter for powerful hybrid SQL + Python workflows
3. Learn how DuckDB fits into modern data exploration and lightweight ETL scenarios