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Can I read High-Performance Big-Data Analytics: Computing Systems and Approaches (Computer Communications and Networks) on EtoBox?

High-Performance Big-Data Analytics: Computing Systems and Approaches (Computer Communications and Networks) by Pethuru Raj, Anupama Raman, Dhivya Nagaraj, Siddhartha Duggirala (auth.) is a science book available to read on EtoBox.

What is High-Performance Big-Data Analytics: Computing Systems and Approaches (Computer Communications and Networks) about?

This important and timely text/reference presents a detailed review of high-performance computing infrastructures for next-generation big data and fast data analytics.  Comprehensively covering a diverse range of computer systems and proven techniques for high-performance big-data analytics, the book also presents case studies, practical guidelines, and best practices for enabling decision-making toward implementing the appropriate computer systems and approaches. Topics and features: Includes case studies and learning activities throughout the book, and self-study exercises at the end of every chapter Presents detailed case studies on social media analytics for intelligent businesses, and on big data analytics in the healthcare sector Describes the network infrastructure requirements for effective transfer of big data, and the storage infrastructure requirements of applications which generate big data Examines real-time analytics solutions, such as machine data analytics and operational analytics Introduces in-database processing and in-memory analytics techniques for data mining Discusses the use of mainframes for handling real-time big data, and the latest types of data manageme

Who reads High-Performance Big-Data Analytics: Computing Systems and Approaches (Computer Communications and Networks)?

It is typically read by self-directed learners exploring a subject in depth.

Common subject areas: history, science, philosophy, social sciences.

Author
Pethuru Raj, Anupama Raman, Dhivya Nagaraj, Siddhartha Duggirala (auth.)
Publisher
Springer International Publishing : Imprint: Springer
Published
2015
Language
EN
ISBN
9781118356852
Category
science
Subjects
Computer Science, Psychology, Sociology
Rating
3.66 / 5 (968 ratings)
Updated
2026-03-14

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