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How-to guide, which provides concise and clear recipes for getting started with Hadoop. This book is for big data enthusiasts and would-be;
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on how to set up a four-node Linux cluster at minimum so that you can run your MapReduce programs not only in local but also in standalone;
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HIGHLIGHT Hadoop in Action is an example-rich tutorial that shows developers how to implement data-intensive distributed;
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in different modes Use Yarn effectively to run different applications on Hadoop based platform Understand and monitor how Hadoop cluster is managed;
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, developer, MapReduce user, or beginner, this book is the best choice available if you wish to optimize your clusters and applications. Having prior;
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-step instructions and real-world examples Who This Book Is ForIf you are a Big Data enthusiast and wish to use Hadoop v2 to solve your;
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explains its origins and implementations, and why design patterns are so important. Hadoop MapReduce code is provided to help you learn how to;
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Ready to unleash the power of your massive dataset? With the latest edition of this comprehensive resource, you'll learn how to use Apache;
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to get started. This practical guide shows you how to quickly launch data analysis projects in the cloud by using Amazon Elastic MapReduce;
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. 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;
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MapReduce, utilize design patterns, and get your Hadoop cluster up and running quickly and easily * Details how to use Hadoop applications for data;
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Discover how Apache Hadoop can unleash the power of your data. This comprehensive resource shows you how to build and maintain reliable;
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, learning both how to build and deploy that specific solution along with the thinking that went into its design. As you work through the tasks;
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Hadoop ecosystem tool. You'll learn how Hadoop works internally, study advanced concepts of different ecosystem tools, discover solutions to real;
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solving a massive computational problem, such as building a recommendation system. You'll learn how to implement the appropriate MapReduce;
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employed over 100 illustrations and many worked-out examples to convey the concepts and methods used in big data, the inner workings of MapReduce;
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employed over 100 illustrations and many worked-out examples to convey the concepts and methods used in big data, the inner workings of MapReduce;
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Get expert guidance on architecting end-to-end data management solutions with Apache Hadoop. While many sources explain how to use various;
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who are willing to discover how to effectively develop MapReduce applications. Prior knowledge of Hadoop or Scala is not required; however;
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Ready to unlock the power of your data? With the fourth edition of this comprehensive guide, you'll learn how to build and maintain;
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Finding patterns in massive event streams can be difficult, but learning how to find them doesn't have to be. This unique hands-on guide;
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business-driven guidance on how to apply Hadoop and Spark to optimize ROI of data science initiatives. Learn What data science;
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process petabytes of data. And now in Apache Hadoop (TM) YARN, two Hadoop technical leaders show you how to develop new applications and adapt;
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This book is aimed at developers and system administrators who want to learn about Big Data analysis using Amazon Elastic MapReduce. Basic;
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Oozie from source code on your Hadoop cluster to managing your complex clusters. You will learn how to create data ingestion and machine;
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