DuckDB for AI: Accelerating Machine Learning Workflows

DuckDB for AI introduces you to the analytical database that's revolutionizing how data scientists work. Through the story of DataWeave, a fictional e-commerce company, you'll discover how to transform sluggish workflows into lightning-fast pipelines, query datasets that dwarf your RAM, and seamlessly integrate powerful SQL analytics into your Python ML ecosystem-all without managing servers or clusters. This comprehensive guide takes you from DuckDB fundamentals through advanced production deployment, covering everything from feature engineering and data cleaning to real-time fraud detection and performance tuning. Whether you're building recommendation engines, analyzing market trends, or training deep learning models, you'll learn to leverage DuckDB's columnar storage and vectorized execution to accelerate every stage of your AI workflow. Written for data scientists and ML engineers who want to spend less time fighting their tools and more time building breakthrough models, this book proves that the future of AI isn't necessarily distributed-it's intelligently optimized. ABOUT THE AUTHOR GK Marballi has spent over 20 years transforming data into competitive advantage for global brands including Priceline, S&P Global, and Barnes & Noble. As a seasoned product and analytics leader, he has navigated the front lines of the AI revolution, building high-impact teams and delivering data-driven solutions at scale. His deep expertise spans the full spectrum of modern data science-from architecting analytical systems to deploying production ML pipelines. Based in New York City, GK holds an MBA from Harvard Business School.