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 systemsHands-on examples of data import, schema design, and query optimizationIntegration patterns with Python, Pandas, Polars, and JupySQLPractical analytics techniques, including spatial data and binary processingComplete CI/CD pipeline setup with GitHub Actions and testing strategiesBest practices for scalability, cloud deployment, and machine learning
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