LEADER 04430nam 22008055 450 001 9910299052703321 005 20200702144746.0 010 $a3-319-06245-X 024 7 $a10.1007/978-3-319-06245-7 035 $a(CKB)3710000000107791 035 $a(EBL)1731111 035 $a(OCoLC)902412640 035 $a(SSID)ssj0001237505 035 $a(PQKBManifestationID)11706002 035 $a(PQKBTitleCode)TC0001237505 035 $a(PQKBWorkID)11250514 035 $a(PQKB)11756855 035 $a(MiAaPQ)EBC1731111 035 $a(DE-He213)978-3-319-06245-7 035 $a(PPN)178780901 035 $a(EXLCZ)993710000000107791 100 $a20140505d2014 u| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aBig Data $eRelated Technologies, Challenges and Future Prospects /$fby Min Chen, Shiwen Mao, Yin Zhang, Victor C.M. Leung 205 $a1st ed. 2014. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2014. 215 $a1 online resource (100 p.) 225 1 $aSpringerBriefs in Computer Science,$x2191-5768 300 $aDescription based upon print version of record. 311 $a3-319-06244-1 320 $aIncludes bibliographical references at the end of each chapters. 327 $aIntroduction -- Related Technologies -- Big Data Generation and Acquisition -- Big Data Storage -- Big Data Analysis -- Big Data Applications -- Open Issues and Outlook. 330 $aThis Springer Brief provides a comprehensive overview of the background and recent developments of big data. The value chain of big data is divided into four phases: data generation, data acquisition, data storage and data analysis. For each phase, the book introduces the general background, discusses technical challenges and reviews the latest advances. Technologies under discussion include cloud computing, Internet of Things, data centers, Hadoop and more. The authors also explore several representative applications of big data such as enterprise management, online social networks, healthcare and medical applications, collective intelligence and smart grids. This book concludes with a thoughtful discussion of possible research directions and development trends in the field. Big Data: Related Technologies, Challenges and Future Prospects is a concise yet thorough examination of this exciting area. It is designed for researchers and professionals interested in big data or related research. Advanced-level students in computer science and electrical engineering will also find this book useful. 410 0$aSpringerBriefs in Computer Science,$x2191-5768 606 $aComputers 606 $aDatabase management 606 $aComputer networks 606 $aApplication software 606 $aData mining 606 $aInformation Systems and Communication Service$3https://scigraph.springernature.com/ontologies/product-market-codes/I18008 606 $aDatabase Management$3https://scigraph.springernature.com/ontologies/product-market-codes/I18024 606 $aComputer Communication Networks$3https://scigraph.springernature.com/ontologies/product-market-codes/I13022 606 $aInformation Systems Applications (incl. Internet)$3https://scigraph.springernature.com/ontologies/product-market-codes/I18040 606 $aData Mining and Knowledge Discovery$3https://scigraph.springernature.com/ontologies/product-market-codes/I18030 615 0$aComputers. 615 0$aDatabase management. 615 0$aComputer networks. 615 0$aApplication software. 615 0$aData mining. 615 14$aInformation Systems and Communication Service. 615 24$aDatabase Management. 615 24$aComputer Communication Networks. 615 24$aInformation Systems Applications (incl. Internet). 615 24$aData Mining and Knowledge Discovery. 676 $a006.312 700 $aChen$b Min$4aut$4http://id.loc.gov/vocabulary/relators/aut$0875214 702 $aMao$b Shiwen$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aZhang$b Yin$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aLeung$b Victor C.M$4aut$4http://id.loc.gov/vocabulary/relators/aut 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910299052703321 996 $aBig Data$92276662 997 $aUNINA