LEADER 01231nam 2200337Ia 450 001 996385099603316 005 20221108090438.0 035 $a(CKB)4940000000075207 035 $a(EEBO)2240956950 035 $a(OCoLC)12129418 035 $a(EXLCZ)994940000000075207 100 $a19850607d1680 uy | 101 0 $aeng 135 $aurbn||||a|bb| 200 14$aThe information of Tho. Dangerfield, gent$b[electronic resource] $edelivered at the bar of the House of Commons, Tuesday the twenty sixth day of October, in the year of Our Lord 1680 /$fperused and signed to be printed, according to the order of the House of Commons, by me, William Williams, speaker 210 $a[Dublin] $c[s.n.]$dReprinted 1680 215 $a8 p 300 $aReproduction of original in Cambridge University Library. 330 $aeebo-0021 606 $aPopish Plot, 1678 615 0$aPopish Plot, 1678. 700 $aDangerfield$b Thomas$f1650?-1685.$01007288 701 $aWilliams$b William$cSir,$f1634-1700.$01001581 801 0$bEAA 801 1$bEAA 801 2$bm/c 801 2$bWaOLN 906 $aBOOK 912 $a996385099603316 996 $aThe information of Tho. Dangerfield, gent$92394148 997 $aUNISA LEADER 01157nam a2200289 i 4500 001 991002122279707536 005 20020508190842.0 008 000316s1991 it ||| | ita 020 $a8840202218$c25000 035 $ab10962530-39ule_inst 035 $aPARLA154887$9ExL 040 $aDip. Scienze Storiche$bita 110 2 $aIstituto Geografico De Agostini $021666 245 10$aBasilicata ; Calabria ; Sicilia ; Sardegna :$bguida turistica d'Italia /$c[Istituto Geografico De Agostini] 260 $aNovara :$b[Istituto Geografico De Agostini],$c1991 300 $a278 p. ;$c22 cm. 490 0 $aGuida turistica d'Italia De Agostini ;$v67 650 4$aSardegna$xGuida turistica 650 4$aSicilia$xGuida turistica 651 4$aBasilicata$xGuida turistica 651 4$aCalabria$xGuida turistica 907 $a.b10962530$b23-02-17$c28-06-02 912 $a991002122279707536 945 $aLE009 GEOG. 14.4-180$g1$i2009000018471$lle009$o-$pE0.00$q-$rn$so $t0$u0$v0$w0$x0$y.i11072131$z28-06-02 996 $aBasilicata ; Calabria ; Sicilia ; Sardegna$9863692 997 $aUNISALENTO 998 $ale009$b01-01-00$cm$da $e-$fita$git $h0$i1 LEADER 04488nam 2200661 450 001 9910811945103321 005 20230202102651.0 010 $a1-78646-372-5 035 $a(CKB)3710000000777467 035 $a(Au-PeEL)EBL4620799 035 $a(CaPaEBR)ebr11350750 035 $a(CaONFJC)MIL944176 035 $a(OCoLC)955130608 035 $a(CaSebORM)9781786466457 035 $a(MiAaPQ)EBC4620799 035 $a(PPN)220200939 035 $a(EXLCZ)993710000000777467 100 $a20170307d2016 uy| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $2rdacontent 182 $2rdamedia 183 $2rdacarrier 200 10$aBig data analytics with R $eutilize R to uncover hidden patterns in your big data /$fSimon Walkowiak 205 $a1st edition 210 1$aBirmingham :$cPackt Publishing,$d2016. 215 $a1 online resource (498 pages) $cillustrations 225 1 $aCommunity experience distilled 300 $aIncludes index. 311 0 $a1-78646-645-7 330 $aUtilize R to uncover hidden patterns in your Big Data About This Book Perform computational analyses on Big Data to generate meaningful results Get a practical knowledge of R programming language while working on Big Data platforms like Hadoop, Spark, H2O and SQL/NoSQL databases, Explore fast, streaming, and scalable data analysis with the most cutting-edge technologies in the market Who This Book Is For This book is intended for Data Analysts, Scientists, Data Engineers, Statisticians, Researchers, who want to integrate R with their current or future Big Data workflows. It is assumed that readers have some experience in data analysis and understanding of data management and algorithmic processing of large quantities of data, however they may lack specific skills related to R. What You Will Learn Learn about current state of Big Data processing using R programming language and its powerful statistical capabilities Deploy Big Data analytics platforms with selected Big Data tools supported by R in a cost-effective and time-saving manner Apply the R language to real-world Big Data problems on a multi-node Hadoop cluster, e.g. electricity consumption across various socio-demographic indicators and bike share scheme usage Explore the compatibility of R with Hadoop, Spark, SQL and NoSQL databases, and H2O platform In Detail Big Data analytics is the process of examining large and complex data sets that often exceed the computational capabilities. R is a leading programming language of data science, consisting of powerful functions to tackle all problems related to Big Data processing. The book will begin with a brief introduction to the Big Data world and its current industry standards. With introduction to the R language and presenting its development, structure, applications in real world, and its shortcomings. Book will progress towards revision of major R functions for data management and transformations. Readers will be introduce to Cloud based Big Data solutions (e.g. Amazon EC2 instances and Amazon RDS, Microsoft Azure and its HDInsight clusters) and also provide guidance on R connectivity with relational and non-relational databases such as MongoDB and HBase etc. It will further expand to include Big Data tools such as Apache Hadoop ecosystem, HDFS and MapReduce frameworks. Also other R compatible tools such as Apache Spark, its machine learning library Spark MLlib, as well as H2O. Style and approach This book will serve as a practical guide... 410 0$aCommunity experience distilled. 606 $aR (Computer program language) 606 $aData mining 606 $aInformation visualization 606 $atext and data mining$9eng$2EUROVOC 606 $aprogramming language$9eng$2EUROVOC 606 $abig data$9eng$2EUROVOC 606 $acloud computing$9eng$2EUROVOC 606 $adata processing$9eng$2EUROVOC 606 $asoftware$9eng$2EUROVOC 615 0$aR (Computer program language) 615 0$aData mining. 615 0$aInformation visualization. 615 7$atext and data mining. 615 7$aprogramming language. 615 7$abig data. 615 7$acloud computing. 615 7$adata processing. 615 7$asoftware. 700 $aWalkowiak$b Simon$01659750 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910811945103321 996 $aBig data analytics with R$94014555 997 $aUNINA