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Data is more than just numbers and text; it’s the foundation of modern decision-making, innovation, and intelligent systems. Data is everywhere, from the personalized recommendations we see online while shopping to the analytics that drive billion-dollar businesses. But data alone isn’t enough. Behind the scenes are professionals who collect, clean, transform, and deliver data where it needs to go. These professionals are data engineers, and this book is your invitation to learn about data engineering. The field of data engineering is growing at lightning speed, especially with the rise of artificial intelligence systems, which rely on quality data. Many people are eager to break into this field but find it difficult to navigate their learning journey. Others may already be working in tech- or data-adjacent roles but lack the foundational understanding of how modern data systems are designed, built, and maintained. Data Engineering for Beginners is a comprehensive, beginner-friendly guide designed to help engineers, analysts, and industry professionals grasp the fundamentals of data engineering, learn necessary concepts with realworld scenarios, and ultimately launch a career with a well-defined roadmap. This book is unique because it offers a clear and accessible introduction to complex and often intimidating concepts. Most resources on data engineering assume a certain level of prior knowledge or experience, making it difficult for true beginners to find a starting point. I believe the strength of an engineer is understanding the rudiments of a topic, and that is what this book plans to achieve. It takes you on an intentional learning journey from understanding various data formats to designing databases, to learning how to secure data systems, to building architectures that scale. With the rise of AI, data engineering has become even more popular. AI models also rely on vast amounts of high-quality data for training and operations, which would involve complex data processing and integration. Organizations are now keen on investing in data platforms and professionals who can manage those platforms, driving greater competition in the market.