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High-performance big-data analytics[...
~
Raj, Pethuru.
High-performance big-data analytics[electronic resource] :computing systems and approaches /
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
杜威分類號:
005.7
書名/作者:
High-performance big-data analytics : computing systems and approaches // by Pethuru Raj ... [et al.].
其他作者:
Raj, Pethuru.
出版者:
Cham : : Springer International Publishing :, 2015.
面頁冊數:
xxii, 428 p. : : ill., digital ;; 24 cm.
Contained By:
Springer eBooks
標題:
Big data.
標題:
High performance computing.
標題:
Computer networks.
標題:
Electronic data processing.
標題:
Computer Science.
標題:
Computer Communication Networks.
標題:
Information Systems Applications (incl. Internet)
標題:
Computer Appl. in Administrative Data Processing.
標題:
Processor Architectures.
ISBN:
9783319207445
ISBN:
9783319207438
內容註:
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 Paradigms -- High-Performance Peer-to-Peer Systems -- Visualization Dimensions for High-Performance Big-Data Analytics -- Social Media Analytics for Organization Empowerment -- Big-Data Analytics for Healthcare.
摘要、提要註:
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 management systems for big and fast data analytics Provides information on the use of cluster, grid and cloud computing systems for big data analytics and data-intensive processing Reviews the peer-to-peer techniques and tools, and the common information visualization techniques, used in big data analytics Software engineers, cloud professionals and big data scientists will find this book to be an informative and inspiring read, highlighting the indispensable role data analytics will play in shaping a smart future.
電子資源:
http://dx.doi.org/10.1007/978-3-319-20744-5
High-performance big-data analytics[electronic resource] :computing systems and approaches /
High-performance big-data analytics
computing systems and approaches /[electronic resource] :by Pethuru Raj ... [et al.]. - Cham :Springer International Publishing :2015. - xxii, 428 p. :ill., digital ;24 cm. - Computer communications and networks,1617-7975. - Computer communications and networks..
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 Paradigms -- High-Performance Peer-to-Peer Systems -- Visualization Dimensions for High-Performance Big-Data Analytics -- Social Media Analytics for Organization Empowerment -- Big-Data Analytics for Healthcare.
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 management systems for big and fast data analytics Provides information on the use of cluster, grid and cloud computing systems for big data analytics and data-intensive processing Reviews the peer-to-peer techniques and tools, and the common information visualization techniques, used in big data analytics Software engineers, cloud professionals and big data scientists will find this book to be an informative and inspiring read, highlighting the indispensable role data analytics will play in shaping a smart future.
ISBN: 9783319207445
Standard No.: 10.1007/978-3-319-20744-5doiSubjects--Topical Terms:
571002
Big data.
LC Class. No.: QA76.9.B45
Dewey Class. No.: 005.7
High-performance big-data analytics[electronic resource] :computing systems and approaches /
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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 management systems for big and fast data analytics Provides information on the use of cluster, grid and cloud computing systems for big data analytics and data-intensive processing Reviews the peer-to-peer techniques and tools, and the common information visualization techniques, used in big data analytics Software engineers, cloud professionals and big data scientists will find this book to be an informative and inspiring read, highlighting the indispensable role data analytics will play in shaping a smart future.
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