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Big Data 2.0 Processing Systems - A Systems Overview (Hardcover, 2nd ed. 2020)
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Big Data 2.0 Processing Systems - A Systems Overview (Hardcover, 2nd ed. 2020)
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This book provides readers the "big picture" and a comprehensive
survey of the domain of big data processing systems. For the past
decade, the Hadoop framework has dominated the world of big data
processing, yet recently academia and industry have started to
recognize its limitations in several application domains and thus,
it is now gradually being replaced by a collection of engines that
are dedicated to specific verticals (e.g. structured data, graph
data, and streaming data). The book explores this new wave of
systems, which it refers to as Big Data 2.0 processing systems.
After Chapter 1 presents the general background of the big data
phenomena, Chapter 2 provides an overview of various
general-purpose big data processing systems that allow their users
to develop various big data processing jobs for different
application domains. In turn, Chapter 3 examines various systems
that have been introduced to support the SQL flavor on top of the
Hadoop infrastructure and provide competing and scalable
performance in the processing of large-scale structured data.
Chapter 4 discusses several systems that have been designed to
tackle the problem of large-scale graph processing, while the main
focus of Chapter 5 is on several systems that have been designed to
provide scalable solutions for processing big data streams, and on
other sets of systems that have been introduced to support the
development of data pipelines between various types of big data
processing jobs and systems. Next, Chapter 6 focuses on covering
the emerging frameworks and systems in the domain of scalable
machine learning and deep learning processing. Lastly, Chapter 7
shares conclusions and an outlook on future research challenges.
This new and considerably enlarged second edition not only contains
the completely new chapter 6, but also offers a refreshed content
for the state-of-the-art in all domains of big data processing over
the last years. Overall, the book offers a valuable reference guide
for professional, students, and researchers in the domain of big
data processing systems. Further, its comprehensive content will
hopefully encourage readers to pursue further research on the
subject.
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