Title Page -- Copyright Page -- Contents 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 -- Social Sentiment Analysis -- Image 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 -- Ingesting Log Data with Flume -- Chapter 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 -- Working through the ABCs of Pig Latin -- Evaluating 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? -- Comparing and Contrasting Hadoop with Relational Databases -- Modernizing 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 -- Creating and Managing Databases and Tables -- Seeing How the Hive Data Manipulation Language Works -- Querying and Analyzing Data -- Chapter 14: Integrating Hadoop with Relational Databases Using Sqoop -- The Principles of Sqoop Design -- Scooping Up Data with Sqoop -- Sending Data Elsewhere with Sqoop -- Looking at Your Sqoop Input and Output Formatting Options -- Sqoop 2.0 Preview -- Chapter 15: The Holy Grail: Native SQL Access to Hadoop Data -- SQL's Importance for Hadoop -- Looking at What SQL Access Actually Means -- SQL Access and Apache Hive -- Solutions Inspired by Google Dremel -- IBM Big SQL -- Pivotal HAWQ.

Hadapt -- The SQL Access Big Picture -- Part IV: Administering and Configuring Hadoop -- Chapter 16: Deploying Hadoop -- Working with Hadoop Cluster Components -- Hadoop Cluster Configurations -- Alternate Deployment Form Factors -- Sizing Your Hadoop Cluster -- Chapter 17: Administering Your Hadoop Cluster -- Achieving Balance: A Big Factor in Cluster Health -- Mastering the Hadoop Administration Commands -- Understanding Factors for Performance -- Tolerating Faults and Data Reliability -- Putting Apache Hadoop's Capacity Scheduler to Good Use -- Setting Security: The Kerberos Protocol -- Expanding Your Toolset Options -- Basic Hadoop Configuration Details -- Part V: The Part of Tens -- Chapter 18: Ten Hadoop Resources Worthy of a Bookmark -- Central Nervous System: Apache.org -- Tweet This -- Hortonworks University -- Cloudera University -- BigDataUniversity.com -- planet Big Data Blog Aggregator -- Quora's Apache Hadoop Forum -- The IBM Big Data Hub -- Conferences Not to Be Missed -- The Google Papers That Started It All -- The Bonus Resource: What Did We Ever Do B.G.? -- Chapter 19: Ten Reasons to Adopt Hadoop -- Hadoop Is Relatively Inexpensive -- Hadoop Has an Active Open Source Community -- Hadoop Is Being Widely Adopted in Every Industry -- Hadoop Can Easily Scale Out As Your Data Grows -- Traditional Tools Are Integrating with Hadoop -- Hadoop Can Store Data in Any Format -- Hadoop Is Designed to Run Complex Analytics -- Hadoop Can Process a Full Data Set (As Opposed to Sampling) -- Hardware Is Being Optimized for Hadoop -- Hadoop Can Increasingly Handle Flexible Workloads (No Longer Just Batch) -- Index -- About the Authors.