LEADER 03719nam 22006855 450 001 9910741152203321 005 20251116135142.0 010 $a81-322-2494-9 024 7 $a10.1007/978-81-322-2494-5 035 $a(CKB)3710000000437016 035 $a(EBL)3567483 035 $a(SSID)ssj0001525173 035 $a(PQKBManifestationID)11817105 035 $a(PQKBTitleCode)TC0001525173 035 $a(PQKBWorkID)11496903 035 $a(PQKB)10756157 035 $a(DE-He213)978-81-322-2494-5 035 $a(MiAaPQ)EBC3567483 035 $a(PPN)186398298 035 $a(EXLCZ)993710000000437016 100 $a20150629d2015 u| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aBig Data $eA Primer /$fedited by Hrushikesha Mohanty, Prachet Bhuyan, Deepak Chenthati 205 $a1st ed. 2015. 210 1$aNew Delhi :$cSpringer India :$cImprint: Springer,$d2015. 215 $a1 online resource (195 p.) 225 1 $aStudies in Big Data,$x2197-6503 ;$v11 300 $aDescription based upon print version of record. 311 08$a81-322-2493-0 320 $aIncludes bibliographical references at the end of each chapters and index. 327 $aBig Data: An Introduction -- Big Data Architecture -- Big Data Processing Algorithms -- Big Data Search and Mining -- Security and Privacy of Big Data -- Big Data Service Agreement -- Applications of Big Data. 330 $aThis book is a collection of chapters written by experts on various aspects of big data. The book aims to explain what big data is and how it is stored and used. The book starts from  the fundamentals and builds up from there. It is intended to serve as a review of the state-of-the-practice in the field of big data handling. The traditional framework of relational databases can no longer provide appropriate solutions for handling big data and making it available and useful to users scattered around the globe. The study of big data covers a wide range of issues including management of heterogeneous data, big data frameworks, change management, finding patterns in data usage and evolution, data as a service, service-generated data, service management, privacy and security. All of these aspects are touched upon in this book. It also discusses big data applications in different domains. The book will prove useful to students, researchers, and practicing database and networking engineers. 410 0$aStudies in Big Data,$x2197-6503 ;$v11 606 $aData mining 606 $aData structures (Computer science) 606 $aComputational intelligence 606 $aData Mining and Knowledge Discovery$3https://scigraph.springernature.com/ontologies/product-market-codes/I18030 606 $aData Storage Representation$3https://scigraph.springernature.com/ontologies/product-market-codes/I15025 606 $aComputational Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/T11014 615 0$aData mining. 615 0$aData structures (Computer science) 615 0$aComputational intelligence. 615 14$aData Mining and Knowledge Discovery. 615 24$aData Storage Representation. 615 24$aComputational Intelligence. 676 $a005.74023 702 $aMohanty$b Hrushikesha$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aBhuyan$b Prachet$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aChenthati$b Deepak$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910741152203321 996 $aBig Data$91412830 997 $aUNINA