Big Data 2.0 Processing Systems: A Systems Overview

The book provides readers with a comprehensive survey of big data processing systems, exploring the limitations of the Hadoop framework and introducing Big Data 2.0 processing systems dedicated to specific verticals. It covers general-purpose systems, SQL-on-Hadoop, graph processing, streaming data, scalable machine learning, and deep learning processing. The second edition includes a new chapter on scalable machine learning and deep learning and offers updated content on all domains.

Format: Paperback / softback
Length: 145 pages
Publication date: 10 July 2021
Publisher: Springer Nature Switzerland AG

This book offers readers a comprehensive overview and a big-picture perspective of the field of big data processing systems. Over the past decade, the Hadoop framework has been the dominant player in the world of big data processing, but recently, academia and industry have begun to acknowledge its limitations in various application domains. Consequently, a collection of specialized engines dedicated to specific verticals, such as structured data, graph data, and streaming data, is gradually replacing it. The book delves into this emerging wave of systems, known as Big Data 2.0 processing systems.

Chapter 1 provides a foundational understanding of the big data phenomenon, setting the stage for the subsequent chapters. Chapter 2 offers a comprehensive survey of various general-purpose big data processing systems that empower users to develop diverse big data processing tasks for different application domains. Chapter 3 explores systems designed to support the SQL flavor on top of the Hadoop infrastructure, offering competitive and scalable performance in the processing of large-scale structured data. Chapter 4 focuses on systems specifically tailored for large-scale graph processing, while Chapter 5 centers on systems designed to provide scalable solutions for processing big data streams. Chapter 6 explores emerging frameworks and systems in the realm of scalable machine learning and deep learning processing. Finally, Chapter 7 summarizes the key findings and presents an outlook on future research challenges in the field.

This new and extensively revised second edition not only encompasses the latest developments but also includes substantial additions and updates. It serves as a valuable resource for researchers, practitioners, and students interested in the field of big data processing, providing a comprehensive and up-to-date understanding of the latest trends, technologies, and applications.

Weight: 261g
Dimension: 235 x 155 (mm)
ISBN-13: 9783030441890
Edition number: 2nd ed. 2020