封面
版权页
Credits
Preface
Part 1. Module 1
Chapter 1. What It's All About
Chapter 2. Getting Hadoop Up and Running
Chapter 3. Understanding MapReduce
Chapter 4. Developing MapReduce Programs
Chapter 5. Advanced MapReduce Techniques
Chapter 6. When Things Break
Chapter 7. Keeping Things Running
Chapter 8. A Relational View on Data with Hive
Chapter 9. Working with Relational Databases
Chapter 10. Data Collection with Flume
Chapter 11. Where to Go Next
Appendix A. Pop Quiz Answers
Chapter 3 Understanding MapReduce
Chapter 7 Keeping Things Running
Part 2. Module 2
Chapter 1. Getting Started with Hadoop 2.X
Chapter 2. Exploring HDFS
Chapter 3. Mastering Map Reduce Programs
Chapter 4. Data Analysis Using Hive Pig and Hbase
Chapter 5. Advanced Data Analysis Using Hive
Chapter 6. Data Import/Export Using Sqoop and Flume
Chapter 7. Automation of Hadoop Tasks Using Oozie
Chapter 8. Machine Learning and Predictive Analytics Using Mahout and R
Chapter 9. Integration with Apache Spark
Chapter 10. Hadoop Use Cases
Part 3. Module 3
Chapter 1. Hadoop 2.X
Chapter 2. Advanced MapReduce
Chapter 3. Advanced Pig
Chapter 4. Advanced Hive
Chapter 5. Serialization and Hadoop I/O
Chapter 6. YARN – Bringing Other Paradigms to Hadoop
Chapter 7. Storm on YARN – Low Latency Processing in Hadoop
Chapter 8. Hadoop on the Cloud
Chapter 9. HDFS Replacements
Chapter 10. HDFS Federation
Chapter 11. Hadoop Security
Chapter 12. Analytics Using Hadoop
Chapter 13. Hadoop for Microsoft Windows
Appendix A. Bibliography
Index
更新时间：2021-07-14 10:21:15
完结共46章
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