High-performance big-data analytics : computing systems and approaches /
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...
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Main Authors: | |
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Group Author: | ; ; |
Published: |
Springer International Publishing,
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Publisher Address: | Cham : |
Publication Dates: | [2015] |
Literature type: | Book |
Language: | English |
Series: |
Computer communications and networks,
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Subjects: | |
Summary: |
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 eve |
Carrier Form: | xxii, 428 pages : illustrations ; 25 cm. |
Bibliography: | Includes bibliographical references and index. |
ISBN: | 9783319207438 |
Index Number: | QA76 |
CLC: | TP311.13 |
Call Number: | TP311.13/R161 |
Contents: | Emerging Trends and Transformations in the IT Landscape -- High Performance Technologies for Big- and Fast-Data Analytics -- Big- and Fast-Data Analytics for High-Performance Computing -- Network Infrastructure for High-Performance Big-Data Analytics -- Storage Infrastructure for High-Performance Big-Data Analytics -- Real-Time Analytics using High-Performance Computing -- High-Performance Computing Paradigms -- In-Database Processing and In-Memory Analytics -- High-Performance Integrated Systems, Databases and Warehouses for Big- and Fast-Data Analytics -- Cluster and Grid Computing Paradig |