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Apache Hadoop™ YARN: Moving beyond MapReduce and Batch Processing with Apache Hadoop™ 2 by Jeff Markham, Joseph Niemiec, Vinod Kumar Vavilapalli, Arun C. Murthy, Doug Eadline

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Preface

Apache Hadoop has a rich and long history. It’s come a long way since its birth in the middle of the first decade of this millennium—from being merely an infrastructure component for a niche use-case (web search), it’s now morphed into a compelling part of a modern data architecture for a very wide spectrum of the industry. Apache Hadoop owes its success to many factors: the community housed at the Apache Software Foundation; the timing (solving an important problem at the right time); the extensive early investment done by Yahoo! in funding its development, hardening, and large-scale production deployments; and the current state where it’s been adopted by a broad ecosystem. In hindsight, its success is easy to rationalize.

On a personal ...

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