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008 170212s2015 gw | s |||| 0|eng d
020 _a9783319207445
_9978-3-319-20744-5
024 7 _a10.1007/978-3-319-20744-5
_2doi
035 _ato000560361
040 _aSpringer
_cSpringer
_dRU-ToGU
050 4 _aTK5105.5-5105.9
072 7 _aUKN
_2bicssc
072 7 _aCOM075000
_2bisacsh
082 0 4 _a004.6
_223
100 1 _aRaj, Pethuru.
_eauthor.
_9467763
245 1 0 _aHigh-Performance Big-Data Analytics
_helectronic resource
_bComputing Systems and Approaches /
_cby Pethuru Raj, Anupama Raman, Dhivya Nagaraj, Siddhartha Duggirala.
250 _a1st ed. 2015.
260 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2015.
300 _aXXII, 428 p. 164 illus., 149 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
490 1 _aComputer Communications and Networks,
_x1617-7975
505 0 _aEmerging 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.
520 _aThis 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.
650 0 _aComputer Science.
_9155490
650 0 _aMicroprocessors.
_9460327
650 0 _aComputer communication systems.
_9460401
650 0 _aApplication software.
_9459955
650 1 4 _aComputer Science.
_9155490
650 2 4 _aComputer Communication Networks.
_9566243
650 2 4 _aInformation Systems Applications (incl. Internet).
_9299051
650 2 4 _aComputer Appl. in Administrative Data Processing.
_9307999
650 2 4 _aProcessor Architectures.
_9303114
700 1 _aRaman, Anupama.
_eauthor.
_9467764
700 1 _aNagaraj, Dhivya.
_eauthor.
_9467765
700 1 _aDuggirala, Siddhartha.
_eauthor.
_9467766
710 2 _aSpringerLink (Online service)
_9143950
773 0 _tSpringer eBooks
830 0 _aComputer Communications and Networks,
_9566482
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-319-20744-5
912 _aZDB-2-SCS
999 _c415379