The go-to guidebook for deploying Big Data solutions with
Hadoop
Today’s enterprise architects need to understand how the Hadoop
frameworks and APIs fit together, and how they can be integrated to
deliver real-world solutions. This book is a practical, detailed
guide to building and implementing those solutions, with code-level
instruction in the popular Wrox tradition. It covers storing data
with HDFS and Hbase, processing data with Map Reduce, and automating
data processing with Oozie. Hadoop security, running Hadoop with
Amazon Web Services, best practices, and automating Hadoop
processes in real time are also covered in depth.
With in-depth code examples in Java and XML and the latest on
recent additions to the Hadoop ecosystem, this complete resource
also covers the use of APIs, exposing their inner workings and
allowing architects and developers to better leverage and customize
them.
* The ultimate guide for developers, designers, and architects
who need to build and deploy Hadoop applications
* Covers storing and processing data with various technologies,
automating data processing, Hadoop security, and delivering
real-time solutions
* Includes detailed, real-world examples and code-level
guidelines
* Explains when, why, and how to use these tools effectively
* Written by a team of Hadoop experts in the
programmer-to-programmer Wrox style
Professional Hadoop Solutions is the reference enterprise
architects and developers need to maximize the power of Hadoop.
About the author
Boris Lublinsky is principal architect at Nokia and an
author of more than 70 publications, including Applied SOA:
Service-Oriented Architecture and Design Strategies.
Kevin T. Smith is Director of Technology Solutions for
the AMS division of Novetta Solutions, where he builds highly
secure, data-oriented solutions for customers.
Alexey Yakubovich is a system architect at Hortonworks
and a member of the Object Management Group SIG on SOA governance
and model-driven architecture.
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