Authors: Mr. Manoj Kumar Gottimukkala, Dr. T. Vinay Simha Reddy, Dr. K. V. Siva Prasad Reddy and Mrs. T. Akila

ISBN: 978-81-69857-94-9

DOI: https://doi.org/10.59646/851

Date of Publication: October 20, 2026

Preface

Big Data Systems and Analytics provides a comprehensive introduction to the principles, architectures, technologies, and computational techniques used to manage and analyze large-scale data in modern digital environments. As organizations increasingly depend on data-driven decision-making, the ability to collect, store, process, and interpret massive volumes of information has become essential across science, engineering, business, healthcare, and information technology. This book introduces the fundamental concepts of big data, its defining characteristics, and the evolution of data management systems, while emphasizing the importance of data engineering, distributed computing, and scalable analytical frameworks. It explores modern big data architectures, distributed system principles, Hadoop and its ecosystem, MapReduce processing models, and advanced frameworks such as Apache Spark, providing readers with a strong foundation for understanding the technologies that support contemporary data-intensive applications. Through its structured presentation of theoretical concepts and technical approaches, the book aims to support students, researchers, academicians, and IT professionals in developing the knowledge required to design, understand, and optimize big data processing environments.

The content also highlights the relationship between architectural design, computational efficiency, fault tolerance, resource utilization, and analytical performance, enabling readers to appreciate the challenges associated with exponential data growth and the need for reliable, scalable, and efficient data processing solutions. By integrating foundational principles with advanced processing technologies, Big Data Systems and Analytics serves as a valuable academic and professional resource for understanding the evolving landscape of big data technologies and their role in intelligent, data-driven innovation.