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        <h1>Learning Hadoop 2</h1>
        <p class="lead book-caption">Design and implement data processing, lifecycle management and analytic workflows <br/> with the cutting edge toolbox of Hadoop 2.</p>
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		<h2>What you will learn from this book</h2>
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<li>Write distributed applications using the MapReduce framework</li>
<li>Go beyond MapReduce and process data in real time with Samza and iteratively with Spark</li>
<li>Become familiar with data mining approaches that work with very large datasets</li>
<li>Prototype applications on a VM and deploy them to a local cluster or to a Cloud infrastructure (Amazon Web Services)</li>
<li>Batch and real time data analysis using SQL like tools</li>
<li>Build data processing flows using Apache Pig and see how it allows easy incorporation of custom functionality</li>
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          <p class="lead">Learning Hadoop 2 introduces the world of building data processing applications on the wide variety of tools supported by the platform. Starting from the core components of the framework – HDFS and YARN – this book will guide you in building analytics and data processing applications using a variety of approaches.</p>
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          <p class="lead">This book is aimed at system and application developers interested in learning to solve practical problems using the Hadoop framework and related components. Prerequisites are familiarity with Unix / Linux command line interface and experience with the Java programming language. Familiarity with Hadoop 1 is a plus.</p>
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          <p class="lead">Each chapter illustrates a key component of Hadoop 2 with a hands on approach complete with use cases and best practices. Each topic is illustrated in the context of data analysis or a processing application built around a dataset generated from Twitter’s message stream.</p>
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          <h2>Garry Turkington</h2>
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          <p class="lead">Garry's current focus is on the infrastructural and architectural challenges around processing large data volumes. Before joining Improve Digital he  worked at Amazon and in the public sector with a specialization in distributed computing.</p>
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