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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
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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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January - 15 - 2013 ADD COMMENTS
Algorithms and Parallel Computing (Wiley Series on Parallel and Distributed Computing)
There is a software gap between the hardware potential and the performance that can be attained using today’s software parallel program development tools. The tools need manual intervention by the programmer to parallelize the code. Programming a parallel computer requires closely studying the target algorithm or application, more so than in the traditional sequential programming we have all learned. The programmer must be aware of the communication and data dependencies of the algorithm or appl
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May - 4 - 2012 ADD COMMENTS
Distributed Computing: Principles, Algorithms, and Systems
Designing distributed computing systems is a complex process requiring a solid understanding of the design problems and the theoretical and practical aspects of their solutions. This comprehensive textbook covers the fundamental principles and models underlying the theory, algorithms and systems aspects of distributed computing. Broad and detailed coverage of the theory is balanced with practical systems-related issues such as mutual exclusion, deadlock detection, authentication, and failure rec
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Distributed Computing: Principles and Applications
Distributed Computing provides an introduction to the core concepts and principles of distributed programming techniques. It takes a “how-to” approach where students learn by doing. Designed for students familiar with Java, the book covers programming paradigms, protocols, and application program interfaces (API’s), including RMI, COBRA, IDL, WWW, and SOAP. Each chapter introduces a paradigm and/or protocol, and then presents the use of a DPI that illustrates the concept. The presentation uses n
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