Data Transformation The Definitive Guide (for Raymond Rhine) (Andrew Madson, Toby Mao etc.) (z-library.sk, 1lib.sk, z-lib.sk) (1)

Written by leaders in the field, this book introduces foundational principles and modern practices that treat data transformation with the same discipline as software development—equal parts theory and hands-on implementation. With guidance on everything from building reproducible, testable workflows to deploying industrial-grade frameworks, the book equips data professionals with the knowledge to tackle real-world challenges in analytics, machine learning, and AI. Squarely focusing on reliability and scale, the authors deliver essential strategies for turning raw data into fresh, trustworthy insights.