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Understanding Big Data: Analytics for Enterprise Class Hadoop and Streaming Data

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Big Data represents a new era in data exploration and utilization, and IBM is uniquely positioned to help clients navigate this transformation. This book reveals how IBM is leveraging open source Big Data technology, infused with IBM technologies, to deliver a robust, secure, highly available, enterprise-class Big Data platform.

The three defining characteristics of Big Data--volume, variety, and velocity--are discussed. You'll get a primer on Hadoop and how IBM is hardening it for the enterprise, and learn when to leverage IBM InfoSphere BigInsights (Big Data at rest) and IBM InfoSphere Streams (Big Data in motion) technologies. Industry use cases are also included in this practical guide.

  • Learn how IBM hardens Hadoop for enterprise-class scalability and reliability
  • Gain insight into IBM's unique in-motion and at-rest Big Data analytics platform
  • Learn tips and tricks for Big Data use cases and solutions
  • Get a quick Hadoop primer
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Mastering Mathematica: Programming Methods and Applications/Book and Disk
Mastering Mathematica: Programming Methods and Applications/Book and Disk

This book addresses the use of Mathematica as a symbolic manipulator, a programming language, and a general tool for knowledge representation. The main focus of the book, however, is on the use of Mathematica as a programming language.

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Novel Algorithms and Techniques in Telecommunications and Networking
Novel Algorithms and Techniques in Telecommunications and Networking
This book includes the proceedings of the 2008 International Conference on Telecommunications and Networking (TeNe).

TeNe 08 is part of the International Joint Conferences on Computer, Information, and Systems Sciences, and Engineering (CISSE 08).
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An Introduction to Bootstrap Methods with Applications to R
An Introduction to Bootstrap Methods with Applications to R
A comprehensive introduction to bootstrap methods in the R programming environment

Bootstrap methods provide a powerful approach to statistical data analysis, as they have more general applications than standard parametric methods. An Introduction to Bootstrap Methods with Applications to R explores the...


Advances in Computer Science and its Applications: CSA 2013 (Lecture Notes in Electrical Engineering)
Advances in Computer Science and its Applications: CSA 2013 (Lecture Notes in Electrical Engineering)

These proceedings focus on various aspects of computer science and its applications, thus providing an opportunity for academic and industry professionals to discuss the latest issues and progress in this and related areas. The book includes theory and applications alike.

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Algorithms, Architectures and Information Systems Security (Statistical Science and Interdisciplinary Research: Platinum Jubilee)
Algorithms, Architectures and Information Systems Security (Statistical Science and Interdisciplinary Research: Platinum Jubilee)
This volume contains articles written by leading researchers in the fields of algorithms, architectures, and information systems security. The first five chapters address several challenging geometric problems and related algorithms. These topics have major applications in pattern recognition, image analysis, digital geometry, surface...
JavaScript Step by Step (Step by Step Developer)
JavaScript Step by Step (Step by Step Developer)

Your hands-on guide to JavaScript fundamentals

Expand your expertise—and teach yourself the fundamentals of JavaScript. If you have previous programming experience but are new to JavaScript, this tutorial delivers the step-by-step guidance and coding exercises you need to master core topics and...

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