Key Features
Book Description
If you are a Big Data enthusiast and wish to use Hadoop v2 to solve your problems, then this book is for you. This book is for Java programmers with little to moderate knowledge of Hadoop MapReduce. This is also a one-stop reference for developers and system admins who want to quickly get up to speed with using Hadoop v2. It would be helpful to have a basic knowledge of software development using Java and a basic working knowledge of Linux.What you will learn
- Configure and administer Hadoop YARN, MapReduce v2, and HDFS clusters
- Use Hive, HBase, Pig, Mahout, and Nutch with Hadoop v2 to solve your big data problems easily and effectively
- Solve largescale analytics problems using MapReducebased applications
- Tackle complex problems such as classifications, finding relationships, online marketing, recommendations, and searching using Hadoop MapReduce and other related projects
- Perform massive text data processing using Hadoop MapReduce and other related projects
- Deploy your clusters to cloud environments
Who this book is for
If you are a Big Data enthusiast and wish to use Hadoop v2 to solve your problems, then this book is for you. This book is for Java programmers with little to moderate knowledge of Hadoop MapReduce. This is also a one-stop reference for developers and system admins who want to quickly get up to speed with using Hadoop v2. It would be helpful to have a basic knowledge of software development using Java and a basic working knowledge of Linux.
Table of Contents
- Getting Hadoop Yarn up and running in a cluster
- Cloud and Other Deployments
- Hadoop MapReduce Administration
- Developing Complex Hadoop Mapreduce Applications
- Hadoop Eco-System 1 - Languages
- Hadoop Eco-System 2 - Data Tools
- Hadoop Ecosystem II
- Searching and Indexing
- Classifications, Recommendation and Finding
- Mass Text Data Processing
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