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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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The Creative Digital Darkroom
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An Introduction to Object Recognition: Selected Algorithms for a Wide Variety of Applications
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Rape Investigation Handbook
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An unprecedented collaborative work -- the first
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This book provides technical overview of GIS, GPS and their integration, before focusing on a selection of R&D...

Game Physics Engine Development (The Morgan Kaufmann Series in Interactive 3D Technology)
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Simulating physics helps cutting-edge games distinguish themselves by making virtual objects behave as we expect them to in the real world. Physics engines are the software programs that run these simulations. Building an engine is difficult, however. There are a large number of new developers (and hobbyists) coming into this market who need help...
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