Application Design for Data-Intensive Systems

Application Design for Data-Intensive Systems provides a comprehensive introduction to the principles, architectures, and practices behind building scalable systems that can manage and analyze massive volumes of data. Aimed at students, researchers, and computing professionals, this textbook equips readers with the tools and understanding needed to tackle real-world challenges in modern data environments.

As data grows in scale and complexity, traditional approaches to system design fall short. This book explores how data-intensive computing leverages specialized hardware, cloud platforms, and intelligent algorithms to power applications across domains such as bioinformatics, cybersecurity, and scientific discovery.

Chapters guide readers through key design strategies—from data acquisition and reduction to storage, stream processing, and real-time analytics. With detailed case studies, including SVM-based classification and scalable visual analytics in security, the book blends foundational theory with hands-on examples.

By focusing on both system architecture and application-level solutions, Application Design for Data-Intensive Systems bridges the gap between concept and practice, empowering readers to design high-performance systems that are robust, responsive, and ready for tomorrow’s data challenges.