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This book is an examplebased tutorial that deals with Optimizing Hadoop for MapReduce job performance. If you are a Hadoop administrator;
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applicable Hadoop skills in a most effective and efficient manner. The book can also be used as a supplementary textbook for a distributed computing;
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problems, then this book is for you. This book is for Java programmers with little to moderate knowledge of Hadoop MapReduce. This is also a one;
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Filled with practical, step-by-step instructions and clear explanations for the most important and useful tasks. This is a Packt Instant;
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framework for scalable, distributed data processing. Hadoop in Action is for programmers, architects, and project managers who have to;
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Hadoop to build and maintain reliable, scalable, distributed systems. It's ideal for programmers looking to analyze datasets of any size, and for;
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MapReduce for most online certification exams. Upon completing this book, readers will find it easy to understand other big data processing tools;
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MapReduce for most online certification exams. Upon completing this book, readers will find it easy to understand other big data processing tools;
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empire. Programmers will find details for analyzing datasets of any size, and administrators will learn how to set up and run Hadoop clusters;
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Hadoop clusters for six years. His unique depth of experience has enabled him to write the go-to resource for all administrators looking to spec;
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Pro Apache Hadoop, Second Edition brings you up to speed on Hadoop - the framework of big data. Revi;...
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A fast paced guide that will help you learn about Apache Hadoop 3 and its ecosystem Key Features Set;...
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reliable, scalable, distributed systems with Apache Hadoop. This book is ideal for programmers looking to analyze datasets of any size, and for;
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For developers working with big data, it's not enough to have a theoretical understanding of Hadoop. They need to solve real challenges;
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the Scalding framework. It is packed with examples featuring log-processing, ad-targeting, and machine learning. This book is for developers;
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(EMR), the hosted Hadoop framework in Amazon Web Services (AWS). Authors Kevin Schmidt and Christopher Phillips demonstrate best practices for;
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This book is aimed at developers and system administrators who want to learn about Big Data analysis;...
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. This book is for HBase administrators, developers, and will even help Hadoop administrators. You are not required to have HBase experience, but;
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adopted by more and more Fortune 500 companies, and the demand for operations-specific material has skyrocketed. This book - written by Eric;
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is an open source MapReduce platform designed to query and analyze data distributed across large clusters. Especially effective for big data;
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If you are ready to dive into the MapReduce framework for processing large datasets, this practical book takes you step by step through the;
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Let Hadoop For Dummies help harness the power of your data and rein in the information overload Big data has become big business, and;
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will help you plan and secure your Hadoop cluster, and make it highly available Who This Book Is For If you are a system administrator;
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This book is a critically needed resource for the newly released Apache Hadoop 2.0, highlighting YARN as the significant breakthrough that;
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real-world case studies and code Book DescriptionApache Hadoop is one of the most popular big data solutions for distributed storage and for;
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