LEADER 00842nam0-22003131i-450- 001 990004453340403321 005 20100920152142.0 035 $a000445334 035 $aFED01000445334 035 $a(Aleph)000445334FED01 035 $a000445334 100 $a19990604d1965----km-y0itay50------ba 101 0 $afre 102 $aFR 105 $ay-------001yy 200 1 $aAugustinisme et théologie moderne$fHenri de Lubac 210 $aParis$cAubier$d1965 215 $a339 p.$d23 cm 225 1 $aThéologie$v63 453 0$1001000458528 676 $a234.1 700 1$aLubac,$bHenri de$f<1896-1991>$0119755 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990004453340403321 952 $a234.1 LUB 3$bBibl.39298$fFLFBC 959 $aFLFBC 996 $aAugustinisme et théologie moderne$925901 997 $aUNINA LEADER 03675oam 22005772 450 001 9910960640603321 005 20251116185733.0 010 $a1-000-39824-2 010 $a1-000-43908-9 010 $a0-429-32173-2 035 $a(CKB)4100000011210034 035 $a(MiAaPQ)EBC6191843 035 $a(OCoLC)1114498339 035 $a(OCoLC-P)1114498339 035 $a(FlBoTFG)9780429321733 035 $a(EXLCZ)994100000011210034 100 $a20190901d2020 uy 0 101 0 $aeng 135 $aurun||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aBig data with Hadoop MapReduce $ea classroom approach /$fRathinaraja Jeyaraj, Ganeshkumar Pugalendhi, Anand Paul 205 $a1st ed. 210 1$aBurlington, ON, Canada ;$aPalm Bay, Florida, USA :$cApple Academic Press,$d2020. 215 $a1 online resource (427 pages) 311 08$a1-77463-484-8 311 08$a1-77188-834-2 327 $aBig Data -- Hadoop Framework -- Hadoop 1.2.1 Installation -- Hadoop Ecosystem -- Hadoop 2.7.0 -- Hadoop 2.7.0 Installation -- Data Science. 330 $a"The authors of Big Data with Hadoop MapReduce: A Classroom Approach have framed the book to facilitate understanding big data and MapReduce by visualizing the basic terminologies and concepts. They employed over 100 illustrations and many worked-out examples to convey the concepts and methods used in big data, the inner workings of MapReduce, and single node/multi-node installation on physical/virtual machines. This book covers almost all necessary information on Hadoop MapReduce for most online certification exams. Upon completing this book, readers will find it easy to understand other big data processing tools such as Spark, Storm, etc. Ultimately, readers will be able to: understand what big data is and the factors that are involved, understand the inner workings of MapReduce, which is essential for certification exams, learn the MapReduce program's features along its weaknesses, set up Hadoop clusters with 100s of physical/virtual machines, create a virtual machine in AWS and set up Hadoop MapReduce, write MapReduce with Eclipse in a simple way, understand other big data processing tools and their applications, understand various job positions in data science, regardless of the user's domain and expertise level in Hadoop MapReduce, this volume will broaden their knowledge and understanding of writing MapReduce programs to process big data. The authors advise that while it is not necessary to be an expert, readers should have some minimal knowledge of working in Ubuntu, Java, and Eclipse to set up clusters and write MapReduce jobs. The authors have emphasized more on Hadoop v2 when compared to Hadoop v1, in order to meet today's trend."--$cProvided by publisher. 606 $aBig data 606 $aFile organization (Computer science) 606 $aCOMPUTERS / Database Management / General$2bisacsh 606 $aCOMPUTERS / Information Technology$2bisacsh 606 $aCOMPUTERS / Management Information Systems$2bisacsh 615 0$aBig data. 615 0$aFile organization (Computer science) 615 7$aCOMPUTERS / Database Management / General 615 7$aCOMPUTERS / Information Technology 615 7$aCOMPUTERS / Management Information Systems 676 $a004.36 676 $a005.7 700 $aJeyaraj$b Rathinaraja$01880744 702 $aPugalendhi$b Ganeshkumar 702 $aPaul$b Anand 801 0$bOCoLC-P 801 1$bOCoLC-P 906 $aBOOK 912 $a9910960640603321 996 $aBig data with Hadoop MapReduce$94494882 997 $aUNINA LEADER 01240nam0 22002891i 450 001 UON00077928 005 20231205102418.689 100 $a20020107f |0itac50 ba 101 $aspa 102 $aES 105 $a|||| ||||| 200 1 $aRelaciones de Africa (Marruecos)$fRecopiladas por Ignacio Bauer Landauer 210 $aMadrid$cEditorial Ibero-Africano-Americana$d[19..] 215 $axii, 357 p.$cill.$d28 cm 316 $a*Tomo 2$5IT-UONSI B Afr4/0475/002 410 1$1001UON00066633$12001 $aBiblioteca Hispano Marroqui$v2 606 $aSpagna$xRelazioni con il Magreb$3UONC022467$2FI 620 $aES$dMadrid$3UONL000218 676 $a303.48246061$cRELAZIONI CULTURALI DELLA SPAGNA CON IL MAGREB$v21 702 1$aLANDAUER$bIgnacio Bauer$3UONV048605 712 $aEditorial Ibero-africano-americana$3UONV257868$4650 801 $aIT$bSOL$c20260220$gRICA 899 $aSIBA - SISTEMA BIBLIOTECARIO DI ATENEO E ARCHIVIO STORICO$2UONSI 912 $aUON00077928 950 $aSIBA - SISTEMA BIBLIOTECARIO DI ATENEO E ARCHIVIO STORICO$dSI 4 0475/002 $eSI AA 18408 5 0475/002 *Tomo 2 996 $aRelaciones de Africa (Marruecos$91300093 997 $aUNIOR