LEADER 03895nam 2200457 450 001 9910794639303321 005 20200520144314.0 035 $a(CKB)4110000000007808 035 $a(Au-PeEL)EBL5405685 035 $a(OCoLC)1039692448 035 $a(CaSebORM)9781788628846 035 $a(MiAaPQ)EBC5405685 035 $a(EXLCZ)994110000000007808 100 $a20180619d2018 uy 0 101 0 $aeng 135 $aurcn| ||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aBig Data Analytics with Hadoop 3 $ebuild highly effective analytics solutions to gain valuable insight into your big data /$fSridhar Alla 205 $a1st edition 210 1$aBirmingham ;$aMumbai :$cPackt,$d[2018] 210 4$d2018 215 $a1 online resource (482 pages) 311 $a1-78862-884-5 330 $aExplore big data concepts, platforms, analytics, and their applications using the power of Hadoop 3 About This Book Learn Hadoop 3 to build effective big data analytics solutions on-premise and on cloud Integrate Hadoop with other big data tools such as R, Python, Apache Spark, and Apache Flink Exploit big data using Hadoop 3 with real-world examples Who This Book Is For Big Data Analytics with Hadoop 3 is for you if you are looking to build high-performance analytics solutions for your enterprise or business using Hadoop 3's powerful features, or you're new to big data analytics. A basic understanding of the Java programming language is required. What You Will Learn Explore the new features of Hadoop 3 along with HDFS, YARN, and MapReduce Get well-versed with the analytical capabilities of Hadoop ecosystem using practical examples Integrate Hadoop with R and Python for more efficient big data processing Learn to use Hadoop with Apache Spark and Apache Flink for real-time data analytics Set up a Hadoop cluster on AWS cloud Perform big data analytics on AWS using Elastic Map Reduce In Detail Apache Hadoop is the most popular platform for big data processing, and can be combined with a host of other big data tools to build powerful analytics solutions. Big Data Analytics with Hadoop 3 shows you how to do just that, by providing insights into the software as well as its benefits with the help of practical examples. Once you have taken a tour of Hadoop 3's latest features, you will get an overview of HDFS, MapReduce, and YARN, and how they enable faster, more efficient big data processing. You will then move on to learning how to integrate Hadoop with the open source tools, such as Python and R, to analyze and visualize data and perform statistical computing on big data. As you get acquainted with all this, you will explore how to use Hadoop 3 with Apache Spark and Apache Flink for real-time data analytics and stream processing. In addition to this, you will understand how to use Hadoop to build analytics solutions on the cloud and an end-to-end pipeline to perform big data analysis using practical use cases. By the end of this book, you will be well-versed with the analytical capabilities of the Hadoop ecosystem. You will be able to build powerful solutions to perform big data analytics and get insight effortlessly. Style and approach Filled with practical examples and use cases, this book will not only help you get up and running with Hadoop, bu... 606 $aBig data 606 $aCluster analysis$xData processing 606 $aElectronic data processing$xDistributed processing 615 0$aBig data. 615 0$aCluster analysis$xData processing. 615 0$aElectronic data processing$xDistributed processing. 676 $a005.7 700 $aAlla$b Sridhar$0886225 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910794639303321 996 $aBig Data Analytics with Hadoop 3$93715423 997 $aUNINA LEADER 04618nam 22012973a 450 001 9910367567403321 005 20250203235429.0 010 $a9783039213443 010 $a303921344X 024 8 $a10.3390/books978-3-03921-344-3 035 $a(CKB)4100000010106072 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/40225 035 $a(ScCtBLL)a1be5f74-54f1-4f04-a9ed-65020f4442bf 035 $a(OCoLC)1163850396 035 $a(oapen)doab40225 035 $a(EXLCZ)994100000010106072 100 $a20250203i20192019 uu 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aAdvancements in Gel Science-A Special Issue in Memory of Toyoichi Tanaka$fMasayuki Tokita 210 $cMDPI - Multidisciplinary Digital Publishing Institute$d2019 210 1$aBasel, Switzerland :$cMDPI,$d2019. 215 $a1 electronic resource (178 p.) 311 08$a9783039213436 311 08$a3039213431 330 $aA gel is a state of matter that consists of a three-dimensional cross-linked polymer network and a large amount of solvent. Because of their structural characteristics, gels play important roles in science and technology. The science of gels has attracted much attention since the discovery of the volume phase transition by Professor Toyoichi Tanala at MIT in 1978. MDPI planned to publish a Special Issue in Gels to celebrate the 40th anniversary of this discovery, which received submissions of 13 original papers and one review from various areas of science. We believe that readers will find this Special Issue informative as to the recent advancements of gel research and the broad background of gel science. 610 $adelamination 610 $afractal analysis 610 $abuckling 610 $aartificial hydrogel cartilage 610 $africtional property 610 $akinetic coefficient 610 $apaint coating 610 $ascaling analysis 610 $amoving boundary picture 610 $aXRD 610 $avolume phase transition 610 $afracture 610 $afatigue 610 $acrack 610 $agelation temperature 610 $axerogel 610 $aswelling of thermosensitive gels 610 $acopolymerization 610 $aphase transition dynamics 610 $awetting 610 $apoly (acryl amide) gel 610 $aswelling 610 $asucrose 610 $aanisotropic shape 610 $aice crystallization during rewarming 610 $amicropipette aspiration 610 $amicrogel 610 $acrosslink density (density of crosslinks) 610 $ahydrogel 610 $aSephadex® (crosslinked dextran) 610 $asol-gel transition 610 $athermoresponsive property 610 $acompression 610 $aBrunauer-Emmett-Teller theory 610 $amonomer sequence 610 $amicrocrystallite 610 $aswelling behavior 610 $amicrometric confinement 610 $awear 610 $alight scattering 610 $aX-ray CT 610 $aco-crosslinking 610 $aelectrophoresis 610 $agel 610 $ahysteresis 610 $aice grain 610 $aeffects of electric charge 610 $aphase separation 610 $aacrylamide derivative 610 $aBarrett-Joyner-Halenda analysis 610 $atemperature 610 $axylitol 610 $aagarose gel 610 $aspinodal temperature 610 $aglassy water 610 $achemical gel 610 $ablood coagulation 610 $apoly(vinyl alcohol) 610 $apulse field gradient spin echo method of nuclear magnetic resonance (PFG-NMR) 610 $atime domain reflectometry (TDR) of dielectric spectroscopy 610 $asite-bond correlated-percolation model for polymer gelation 610 $aspinodal decomposition 610 $aadhesion 610 $ajanus particle 610 $awrinkle 610 $afriction 610 $acloud point temperature 610 $adrying 610 $agamma ray sterilization 610 $asolvent exchange 610 $asolids content 610 $asolvent transport 610 $aheterogeneous gelation dynamics 610 $aPVA gel 610 $ahydrogen bond 700 $aTokita$b Masayuki$01328951 801 0$bScCtBLL 801 1$bScCtBLL 906 $aBOOK 912 $a9910367567403321 996 $aAdvancements in Gel Science-A Special Issue in Memory of Toyoichi Tanaka$93645503 997 $aUNINA