DuckDB Powering Interactive Notebooks
summary
Embeds DuckDB into a notebook product so a SQL cell can query Redshift and return results directly into a pandas DataFrame, and a DataFrame/CSV source can be exposed as a table with a single import call. Parses Google Sheets into multiple table ranges and sends them in Arrow format to DuckDB for ad hoc analysis. Runs DuckDB on Python and Node servers, evaluates DuckDB WASM for in‑browser execution, and reports major wins: native parquet/csv/Arrow support and large development time savings, bundle size being the main blocker.
AI-written summary · about
chapters (3)
related talks
34mData Wrangling with DuckDB
40mDuckDB beyond the notebook
40mDuckDB: Harnessing in-process analytics for data science and beyond
30mDuckDB: Bringing analytical SQL directly to your Python shell
28mAnalyze data easily with duckdb - and the implications on data architectures
27mIn Process Analytical Data Management with DuckDB
25mA quack of all trades: DuckDB, a versatile analytical database to keep in your toolkit
01h 02mAnalytics for not-so-big data with DuckDB
