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Advanced Analytics with Spark: Patterns for Learning from Data at Scale
In this practical book, four Cloudera data scientists present a set of self-contained patterns for performing large-scale data analysis with Spark. The authors bring Spark, statistical methods, and real-world data sets together to teach you how to approach analytics problems by example.You’ll start with an introduction to Spark and its ecosystem, and then dive into patterns that apply common techniques—classification, collaborative filtering, and anomaly detection among others—to fields su
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Data-Intensive Text Processing with MapReduce (Synthesis Lectures on Human Language Technologies)
- Used Book in Good Condition
Our world is being revolutionized by data-driven methods: access to large amounts of data has generated new insights and opened exciting new opportunities in commerce, science, and computing applications. Processing the enormous quantities of data necessary for these advances requires large clusters, making distributed computing paradigms more crucial than ever. MapReduce is a programming model for expressing distributed computations on massive datasets and an execution framework for large-scale
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February - 27 - 2016 ADD COMMENTS
Mapreduce Design Patterns
Brings together a collection of valuable MapReduce patterns explained in context with pitfalls and caveats clearly identified to help avoid common design mistakes when modeling big data architecture.
Title MapReduce Design Patterns
Author Miner Donald/ Shook Adam
Publisher Oreilly & Associates Inc
Publication Date 2012/12/22
Number of Pages 232
Binding Type PAPERBACK
Library of Congress bl2013000675
List Price: $ 259.00
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January - 6 - 2015 ADD COMMENTS
MapReduce Design Patterns: Building Effective Algorithms and Analytics for Hadoop and Other Systems
Until now, design patterns for the MapReduce framework have been scattered among various research papers, blogs, and books. This handy guide brings together a unique collection of valuable MapReduce patterns that will save you time and effort regardless of the domain, language, or development framework you’re using.Each pattern is explained in context, with pitfalls and caveats clearly identified to help you avoid common design mistakes when modeling your big data architecture. This book also
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December - 30 - 2014 ADD COMMENTS
MapReduce Design Patterns: Building Effective Algorithms and Analytics for Hadoop and Other Systems
- Used Book in Good Condition
Until now, design patterns for the MapReduce framework have been scattered among various research papers, blogs, and books. This handy guide brings together a unique collection of valuable MapReduce patterns that will save you time and effort regardless of the domain, language, or development framework you’re using.Each pattern is explained in context, with pitfalls and caveats clearly identified to help you avoid common design mistakes when modeling your big data architecture. This book also
List Price: $ 44.99
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Amazon Elastic MapReduce Developer Guide
This is official Amazon Web Services (AWS) documentation for Amazon Elastic MapReduce (Amazon EMR).
This guide provides a conceptual overview of Amazon EMR, an overview of how related AWS products work with Amazon EMR, and detailed information on Amazon EMR functionality.
Amazon EMR is a data analysis tool that simplifies the set-up and management of a computer cluster, the source data, and the computational tools that help you implement sophisticated data processing jobs quickly.
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