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020 _a9783319207445
_z978-3-319-20744-5
024 7 _a10.1007/978-3-319-20744-5
_2doi
050 4 _aTK5105.5-5105.9
072 7 _aUKN
_2bicssc
072 7 _aCOM075000
_2bisacsh
072 7 _aUKN
_2thema004.6
_223
100 1 _aRaj, Pethuru.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
245 1 0 _aHigh-Performance Big-Data Analytics :
_bComputing Systems and Approaches /
_cby Pethuru Raj, Anupama Raman, Dhivya Nagaraj, Siddhartha Duggirala.
250 _a1st ed. 2015.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2015.
300 _a1 online resource
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 0 _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 Communication Networks.
650 0 _aInformation systems.
650 0 _aComputer science.
650 1 4 _aComputer Communication Networks.
_0http://scigraph.springernature.com/things/product-market-codes/I13022
650 2 4 _aInformation Systems Applications (incl. Internet).
_0http://scigraph.springernature.com/things/product-market-codes/I18040
650 2 4 _aComputer Appl. in Administrative Data Processing.
_0http://scigraph.springernature.com/things/product-market-codes/I2301X
650 2 4 _aProcessor Architectures.
_0http://scigraph.springernature.com/things/product-market-codes/I13014
700 1 _aRaman, Anupama.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
700 1 _aNagaraj, Dhivya.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
700 1 _aDuggirala, Siddhartha.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
710 2 _aSpringerLink (Online service)
856 4 0 _uhttps://doi.org/10.1007/978-3-319-20744-5
_3Springer eBooks
_zOnline access link to the resource
912 _aZDB-2-SCS
999 _c200434421
_d52633
942 _2lcc
_cEBK
041 _aeng