DuckDB makes data analytics fast and fun! You don't need to set up a Spark or run a cloud data warehouse just to itl'f process a few hundred gigabytes of data, DuckDB is easily embeddable in any data analytics application, runs on a laptop, and processes data from almost any source, including JSON, CSV, Parquet, SQLite and Postgres. DuckDB in Action guides you example-by-example from setup, through your first SQL query, to advanced topics like building data pipelines and embedding DuckDB as a local data store for a Streamlit web app. You'll explore DuckDB's handy SQL extensions, get to grips with aggregation, analysis, and data without persistence, and use Python to customize DuckDB. A hands-on project accompanies each new topic, so you can see DuckDB in action. What's Inside, Prepare, ingest and query large datasets, Build cloud data pipelines, Extend DuckDB with custom functionality, Fast-paced SQL recap: From simple queries to advanced analytics, For data pros comfortable with Python and CLI tools.