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You've heard the hype about Hadoop: it runs petabyte–scale data mining tasks insanely fast, it runs gigantic tasks on clouds for absurdly cheap, it's been heavily committed to by tech giants like IBM, Yahoo!, and the Apache Project, and it's completely open-source (thus free). But what exactly is it, and more importantly, how do you even get a Hadoop cluster up and running? From Apress, the name you've come to trust for hands–on technical knowledge, Pro Hadoop brings you up to speed on Hadoop. You learn the ins and outs of MapReduce; how to structure a cluster, design, and implement the Hadoop file system; and how to build your first cloud–computing tasks using Hadoop. Learn how to let Hadoop take care of distributing and parallelizing your software—you just focus on the code, Hadoop takes care of the rest. Best of all, you'll learn from a tech professional who's been in the Hadoop scene since day one. Written from the perspective of a principal engineer with down–in–the–trenches knowledge of what to do wrong with Hadoop, you learn how to avoid the common, expensive first errors that everyone makes with creating their own Hadoop system or inheriting someone else's. Skip the novice stage and the expensive, hard–to–fix mistakes...go straight to seasoned pro on the hottest cloud–computing framework with Pro Hadoop. Your productivity will blow your managers away.

Computer Science -- IT. --- Expert systems (Computer science). --- Software engineering. --- Computer Science --- Engineering & Applied Sciences --- Information Technology --- Computer Science (Hardware & Networks) --- General and Others --- Computer software. --- Hadoop. --- Software, Computer --- Hadoop --- Computer science. --- Computer Science. --- Computer Science, general. --- Informatics --- Science --- Computer systems --- Big data. --- Big Data. --- Software Engineering/Programming and Operating Systems. --- Computer software engineering --- Engineering --- Data sets, Large --- Large data sets --- Data sets

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This book is a concise guide to getting started with Hadoop and getting the most out of your Hadoop clusters. My early experiences with Hadoop were wonderful and stressful. While Hadoop supplied the tools to scale applications, it lacked documentation on how to use the framework effectively. This book provides that information. It enables you to rapidly and pa- lessly get up to speed with Hadoop. This is the book I wish was available to me when I started using Hadoop. Who This Book Is For This book has three primary audiences: developers who are relatively new to Hadoop or MapReduce and must scale their applications using Hadoop; system administrators who must deploy and manage the Hadoop clusters; and application designers looking for a detailed understanding of what Hadoop will do for them. Hadoop experts will learn some new details and gain insights to add to their expertise. How This Book Is Structured This book provides step-by-step instructions and examples that will take you from just beg- ning to use Hadoop to running complex applications on large clusters of machines. Here's a brief rundown of the book's contents: Chapter 1, Getting Started with Hadoop Core: This chapter introduces Hadoop Core and MapReduce applications. It then walks you through getting the software, installing it on your computer, and running the basic examples.

Programming --- programmeren (informatica)