Overview

Working with Data in DuckDB provides a practical understanding of leveraging DuckDB's columnar architecture for efficient data processing. From fundamental concepts to advanced implementations, readers will learn how to design, develop, and deploy scalable solutions for modern data challenges. The book includes: End-to-end implementation guide for DuckDB OLAP systems Hands-on examples of data import, schema design, and query optimization Integration patterns with Python, Pandas, Polars, and JupySQL Practical analytics techniques, including spatial data and binary processing Complete CI/CD pipeline setup with GitHub Actions and testing strategies Best practices for scalability, cloud deployment, and machine learning

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