02006nam a2200241Ia 4500003000400000005001700004008004100021020001800062040001800080041000800098082002300106100001900129245005300148250000600201260004100207300001700248505139400265650002401659700002401683700002101707700001801728700001801746OSt20260211154700.0210716s2014    xx            000 0 und d  a9788126550517  cAIMIT LIBRARY  aeng  a005.7681 21bDERD  aDeRoss, Dirk.   aHadoop for dummies /cBy Dirk deRoss...[et.al.].  a1  aNew DelhibWiley India Pvt Ltdc2014  axii,394/2017  aIntroduction

Part I: Getting Started with Hadoop

Chapter 1: Introducing Hadoop and Seeing What It's Good For

Chapter 2: Common Use Cases for Big Data in Hadoop

Chapter 3: Setting Up Your Hadoop Environment

Part II: How Hadoop Works

Chapter 4: Storing Data in Hadoop: The Hadoop Distributed File System

Chapter 5: Reading and Writing Data

Chapter 6: MapReduce Programming

Chapter 7: Frameworks for Processing Data in Hadoop: YARN and MapReduce

Chapter 8: Pig: Hadoop Programming Made Easier

Chapter 9: Statistical Analysis in Hadoop

Chapter 10: Developing and Scheduling Application Workflows with Oozie

Part III: Hadoop and Structured Data

Chapter 11: Hadoop and the Data Warehouse: Friends or Foes?

Chapter 12: Extremely Big Tables: Storing Data in HBase

Chapter 13: Applying Structure to Hadoop Data with Hive

Chapter 14: Integrating Hadoop with Relational Databases Using Sqoop

Chapter 15: The Holy Grail: Native SQL Access to Hadoop Data

Part IV: Administering and Configuring Hadoop

Chapter 16: Deploying Hadoop

Chapter 17: Administering Your Hadoop Cluster

Part V: The Part of Tens

Chapter 18: Ten Hadoop Resources Worthy of a Bookmark

Chapter 19: Ten Reasons to Adopt Hadoop

IndexrAbout the Author
Roman B. Melnyk is a senior member of the DB2 Information Development team. Paul Zikopoulos is the executive for Technical Sales in IBM Information Management  aDatabase Management  aZikopoulos, Paul c.  aMelnyk, Roman B.  aBrown, Bruce.  aCoss, Rafael.