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Index
Cover
Table of Contents
INTRODUCTION
WHO IS THIS BOOK FOR?
WHAT YOU NEED TO USE THIS BOOK
HOW THIS BOOK IS STRUCTURED
CONVENTIONS
SOURCE CODE
ERRATA
P2P.WROX.COM
CHAPTER 1: HADOOP INTRODUCTION
What Is Zookeeper?
What Is Hive?
Integration with Other Systems
Summary
CHAPTER 2: STORAGE
Basics of Hadoop HDFS
Setting Up the HDFS Cluster in Distributed Mode
Advanced Features of HDFS
File Format
Cloud Storage
Summary
CHAPTER 3: COMPUTATION
Basics of Hadoop MapReduce
How to Launch a MapReduce Job
Advanced Features of MapReduce
The Difference from a Spark Job
Summary
CHAPTER 4: USER EXPERIENCE
Apache Hive
Apache Pig
UDF
Hue
Apache Oozie
Summary
CHAPTER 5: INTEGRATION WITH OTHER SYSTEMS
Apache Sqoop
Apache Flume
Apache Kafka
Apache Storm
Summary
CHAPTER 6: HADOOP SECURITY
Securing the Hadoop Cluster
Securing Data
Securing Applications
Summary
CHAPTER 7: ECOSYSTEM AT LARGE: HADOOP WITH APACHE BIGTOP
Basics Concepts
Developing a Custom-Tailored Stack
Deployment
Integration Validation
Putting It All Together
Summary
CHAPTER 8: IN-MEMORY COMPUTING IN HADOOP STACK
Introduction to In-Memory Computing
Apache Ignite: Memory First
Legacy Hadoop Acceleration with Ignite
Advanced Use of Apache Ignite
Summary
GLOSSARY
End User License Agreement
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