Name: Hadoop：Data Processing and Modelling
Author: Garry Turkington Tanmay Deshpande Sandeep Karanth
ISBN: 9781787120457

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Hadoop：Data Processing and ModellingGarry Turkington Tanmay Deshpande Sandeep Karanth

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This course is for Java developers, who know scripting, wanting a career shift to Hadoop - Big Data segment of the IT industry. So if you are a novice in Hadoop or an expert, this book will make you reach the most advanced level in Hadoop 2.X.

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出版社Packt Publishing

出版时间2016年8月

字数1,378,376

分类科学技术-工业技术

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Hadoop：Data Processing and Modelling

Garry Turkington Tanmay Deshpande Sandeep Karanth

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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

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