This book provides a comprehensive view on the recent trend toward high performance computing architectures especially as it relates to analytics and data mining. Topics that are covered include: big data (and its characteristics), high performance computing for analytics, massively parallel processing (MPP) databases, algorithms for big data, in-memory databases, implementation of machine learning algorithms for big data platforms and analytics environments. However none gives a historical and comprehensive view of all these separate topics in a single document.

Business analytics refers to the skills, technologies, applications and practices for continuous iterative exploration and investigation of past business performance to gain insight and drive business planning. It can make extensive use of data, statistical and quantitative analysis, explanatory and predictive modeling and fact-based management to drive decision making.

Product details

  • Hardcover: 288 pages
  • Publisher: Dreamtech Press (12 August 2014)
  • Language: English
  • ISBN-10: 8126550902
  • ISBN-13: 978-8126550906
  • Product Dimensions: 23.1 x 14.7 x 2 cm

About the Author

Jared Dean (Cary, NC) is Director of Research and Development at SAS Institute. He is responsible for all aspects of development in SAS' global data mining solutions. This includes customer engagements, new feature development, technical support, sales support and product integration.

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Big Data, Data Mining and Machine Learning (WILEY Big Data Series)

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Tags: Big Data, Data Mining and Machine Learning