LEADER 01301nkm1-2200373---450- 001 990005696380203316 005 20060901 035 $a000569638 035 $aUSA01000569638 035 $a(ALEPH)000569638USA01 035 $a000569638 100 $a20060901g18921894|||y0itaa50------ba 101 $ager 102 $ade 105 $a0 00||| 200 1 $aGrundlegung der politischen Okonomie$fvon Adolph Wagner 205 $a3.$bwesentlich um-,theilweise ganz neu bearb. und stark erweit. Aufl 210 $aLeipzig$cWinter$d1892-1894 215 $a3 v.$d23 cm. 225 2 $aLehr-und Handbuch der politischen Okonomie$fhrsg. von Adolph Wagner 410 0$12001$aLehr-und Handbuch der politischen Okonomie 463 \1$1001990005696390203316$12001 $a<<2. Teil: >> Volkswirthschaft und Recht, besonders Vermogensrecht, oder Freiheit und Eigenthum in volkswirthscaflicher Betrachtung 463 \1$1001990005696400203316$12001 $a<<1. Teil: >> Grundlagen der Volkswirthschaft 620 $dLEIPZIG 676 $a330.1 700 1$aWAGNER,$bAdolph$0123367 712 02$aWINTER 801 0$aIT$bSA$c20111219 912 $a990005696380203316 959 $aBK 969 $aFIL 979 $c20121027$lUSA01$h1526 996 $aGrundlegung der politischen Okonomie$91083949 997 $aUNISA LEADER 05178nam 2200601 450 001 9910828209303321 005 20200520144314.0 010 $a1-118-70503-3 035 $a(CKB)3710000000096950 035 $a(EBL)1658809 035 $a(MiAaPQ)EBC1658809 035 $a(JP-MeL)3000030611 035 $a(Au-PeEL)EBL1658809 035 $a(CaPaEBR)ebr10855762 035 $a(CaONFJC)MIL586313 035 $a(OCoLC)875098505 035 $a(PPN)272707384 035 $a(EXLCZ)993710000000096950 100 $a20140412h20142014 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $2rdacontent 182 $2rdamedia 183 $2rdacarrier 200 10$aHadoop for dummies /$fby Dirk deRoos [and four others] 210 1$aHoboken, New Jersey :$cJohn Wiley & Sons,$d2014. 210 4$dİ2014 215 $a1 online resource (411 p.) 225 1 $aFor Dummies 300 $a"Making everything easier"--Cover. 300 $aIncludes index. 311 $a1-118-60755-4 327 $aContents at a Glance; Table of Contents; Introduction; About this Book; Foolish Assumptions; How This Book Is Organized; Icons Used in This Book; Beyond the Book; Where to Go from Here; Part I: Getting Started with Hadoop; Chapter 1: Introducing Hadoop and Seeing What It's Good For; Big Data and the Need for Hadoop; The Origin and Design of Hadoop; Examining the Various Hadoop Offerings; Chapter 2: Common Use Cases for Big Data in Hadoop; The Keys to Successfully Adopting Hadoop (Or, "Please, Can We Keep Him?"); Log Data Analysis; Data Warehouse Modernization; Fraud Detection; Risk Modeling 327 $aSocial Sentiment AnalysisImage Classification; Graph Analysis; To Infinity and Beyond; Chapter 3: Setting Up Your Hadoop Environment; Choosing a Hadoop Distribution; Choosing a Hadoop Cluster Architecture; The Hadoop For Dummies Environment; Your First Hadoop Program: Hello Hadoop!; Part II: How Hadoop Works; Chapter 4: Storing Data in Hadoop: The Hadoop Distributed File System; Data Storage in HDFS; Sketching Out the HDFS Architecture; HDFS Federation; HDFS High Availability; Chapter 5: Reading and Writing Data; Compressing Data; Managing Files with the Hadoop File System Commands 327 $aIngesting Log Data with FlumeChapter 6: MapReduce Programming; Thinking in Parallel; Seeing the Importance of MapReduce; Doing Things in Parallel: Breaking Big Problems into Many Bite-Size Pieces; Writing MapReduce Applications; Getting Your Feet Wet: Writing a Simple MapReduce Application; Chapter 7: Frameworks for Processing Data in Hadoop: YARN and MapReduce; Running Applications Before Hadoop 2; Seeing a World beyond MapReduce; Real-Time and Streaming Applications; Chapter 8: Pig: Hadoop Programming Made Easier; Admiring the Pig Architecture; Going with the Pig Latin Application Flow 327 $aWorking through the ABCs of Pig LatinEvaluating Local and Distributed Modes of Running Pig scripts; Checking Out the Pig Script Interfaces; Scripting with Pig Latin; Chapter 9: Statistical Analysis in Hadoop; Pumping Up Your Statistical Analysis; Machine Learning with Mahout; R on Hadoop; Chapter 10: Developing and Scheduling Application Workflows with Oozie; Getting Oozie in Place; Developing and Running an Oozie Workflow; Scheduling and Coordinating Oozie Workflows; Part III: Hadoop and Structured Data; Chapter 11: Hadoop and the Data Warehouse: Friends or Foes? 327 $aComparing and Contrasting Hadoop with Relational DatabasesModernizing the Warehouse with Hadoop; Chapter 12: Extremely Big Tables: Storing Data in HBase; Say Hello to HBase; Understanding the HBase Data Model; Understanding the HBase Architecture; Taking HBase for a Test Run; Getting Things Done with HBase; HBase and the RDBMS world; Deploying and Tuning HBase; Chapter 13: Applying Structure to Hadoop Data with Hive; Saying Hello to Hive; Seeing How the Hive is Put Together; Getting Started with Apache Hive; Examining the Hive Clients; Working with Hive Data Types 327 $aCreating and Managing Databases and Tables 330 $a Let Hadoop For Dummies help harness the power of your data and rein in the information overloadBig data has become big business, and companies and organizations of all sizes are struggling to find ways to retrieve valuable information from their massive data sets with becoming overwhelmed. Enter Hadoop and this easy-to-understand For Dummies guide. Hadoop For Dummies helps readers understand the value of big data, make a business case for using Hadoop, navigate the Hadoop ecosystem, and build and manage Hadoop applications and clusters.