Big-Data Analytics and Cloud Computing: Theory, Algorithms and Applications

Big data and cloud computing, brought into one clear conversation

Big-Data Analytics and Cloud Computing: Theory, Algorithms and Applications gathers theoretical discussion and practical case studies around one of computing’s most influential combinations. This edited volume looks at how cloud platforms support large-scale analytics, why data-driven systems need new architectural thinking, and where theory meets implementation in real projects.

The book is divided into two parts. The first focuses on the theoretical side of big data, predictive analytics, and cloud-based architectures. The second turns to applications and implementations that use big data in cloud settings. That structure makes the book especially useful for readers who want to move from concepts to concrete examples without losing sight of the broader technical landscape.

What the book emphasizes

• theoretical concepts, principles, tools, and techniques for big data
• cloud-based architectures for large-scale analytics
• deployment models and practical implementations
• real-world applications of algorithms for large datasets
• research directions and emerging business models shaped by big data

Who will find it useful

The front matter points to a broad professional and academic readership: enterprise architects, business analysts, business leaders, IT infrastructure managers, application developers, researchers, and university instructors. If you work with distributed systems, analytics platforms, or cloud strategy, this book offers a structured way to see how the pieces fit together.

A useful reference for course or project work

Because the book combines overview material with applied chapters, it can work both as an introduction and as a reference volume. Readers can approach Part I for the foundations, then move into Part II for case studies and implementation-oriented material. The result is a solid, topic-specific collection for anyone studying or building systems where cloud computing and big data analytics overlap.