Sunday, April 30, 2017

Hadoop In Practice - 85 Techniques - Big Data Hadoop Book PDF

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Hadoop In Practice - 85 Techniques - Big Data Hadoop Book PDF


"This book collects a number of intermediary and advanced Hadoop examples and presents them in a problem/solution format. Each of the 85 techniques addresses a specific task you’ll face, like using Flume to move log files into Hadoop or using Mahout for predictive analysis. Each problem is explored step by step and, as you work through them, you’ll find yourself growing more comfortable with Hadoop and at home in the world of big data.
This hands-on book targets users who have some practical experience with Hadoop and understand the basic concepts of MapReduce and HDFS. Manning’s Hadoop in Action by Chuck Lam contains the necessary prerequisites to understand and apply the techniques covered in this book. Many techniques in this book are Java-based, which means readers are expected to possess an intermediate-level knowledge of Java. An excellent text for all levels of Java users is Effective Java, Second Edition, by Joshua Bloch".

What you will learn from this book:

■ Background and fundamentals
- Hadoop in a heartbeat

■ Data Logístics
- Moving data in and out of Hadoop
- Data serialization-working with text and beyond

■ Big Data Patterns
- Applying MapReduce patterns to big data
- Streamlining HDFS for big data
- Diagnosing and tuning performance problems

■ Data Science
- Utilizing data structures and algorithms
- Integrating R and Hadoop for statistics and more
- Predictive analytics with Mahout

■ Taming the Elephant
- Hacking with Hive
- Programming pipelines with Pig
- Crunch and other technologies
- Testing and debugging


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Hadoop Illuminated - Big Data Hadoop Book PDF

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