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Programming MapReduce With Scalding

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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Hadoop 2 Essentials

, virtual 4-node Linux YARN cluster on a Windows laptop. Rather than filled with disjointed, piecemeal code snippets to show Hadoop MapReduce;

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Learning Big Data with Amazon Elastic MapReduce

Java programming knowledge is required. You should be comfortable with using command-line tools. Prior knowledge of AWS, API, and CLI tools;

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Data-Intensive Text Processing With MapReduce

details, ranging from scheduling to synchronization to fault tolerance. This book focuses on MapReduce algorithm design, with an emphasis on text;

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Programming Elastic MapReduce

Although you don't need a large computing infrastructure to process massive amounts of data with Apache Hadoop, it can still be difficult;

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Guide to High Performance Distributed Computing

basics of Spark, including resilient distributed datasets, and examines Hadoop streaming and working with Scalding; Provides detailed case;

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Programming Pig

projects on Hadoop. With Pig, you can analyze data without having to create a full-fledged application - making it easy for you to experiment with;

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Optimizing Hadoop for MapReduce

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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Big Data with Hadoop MapReduce

* set up Hadoop clusters with 100s of physical/virtual machines * create a virtual machine in AWS * write MapReduce with Eclipse;

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Big Data with Hadoop MapReduce

* set up Hadoop clusters with 100s of physical/virtual machines * create a virtual machine in AWS * write MapReduce with Eclipse;

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Distributed Processing of Large Remote Sensing Images Using Mapreduce

of Landsat images were performed with the Hadoop framework. The findings demonstrate that MapReduce has a potential for scaling large-scale remotely;

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Hadoop Mapreduce V2 Cookbook

and learn what's new in MapReduce v2 More than 90 Hadoop MapReduce recipes presented in a simple and straightforward manner, with step-by;

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HBase Essentials

understanding, it would be helpful to have a bit of familiarity with HDFS and MapReduce programming concepts with no prior experience with HBase or;

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Enterprise Data Workflows With Cascading

data in any format, from any source Build and test applications with familiar constructs and reusable components Work with the Scalding and;

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Apache Hadoop 3 Quick Start Guide

A fast paced guide that will help you learn about Apache Hadoop 3 and its ecosystem Key Features Set up, configure and get started with;

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Practical Concurrent Haskell

processors with the help of parallelism in order to increase the performance of your applications. Practical Concurrent Haskell teaches you how;

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Cloud Computing

As more and more data is generated at a faster-than-ever rate, processing large volumes of data is b;...

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Cloud Computing

As more and more data is generated at a faster-than-ever rate, processing large volumes of data is b;...

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MapReduce Design Patterns

, or development framework you're using. Each pattern is explained in context, with pitfalls and caveats clearly identified - so you can avoid;

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Learning Hadoop

how to solve practical problems using the Hadoop framework, then this book is ideal for you. You are expected to be familiar with the Unix;

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Programming Hive

Hive makes life much easier for developers who work with stored and managed data in Hadoop clusters, such as data warehouses. With this;

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Seven Concurrency Models In Seven Weeks

. See how emerging technologies such as actors and functional programming address issues with traditional threads and locks development. Learn;

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Hbase in Action

When dealing with big data, traditional databases don't cut it. It's best to use the right tool for the job. HBase is a NoSQL storage;

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Instant MapReduce Patterns - Hadoop Essentials How-to

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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Data Algorithms

algorithms and tools you need to build distributed MapReduce applications with Apache Hadoop or Apache Spark. Each chapter provides a recipe for;

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Hadoop: The Definitive Guide

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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Hadoop in Practice

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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