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      by 
      Krishnan, Krish.
      Format: 
      Excerpt: 
      - Complexity of Big Data Chapter 3 - Big Data Processing Architectures Chapter 4 - Big Data Technologies
      by 
      Aufaure, Marie-Aude.
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      distributors’ data, governmental or NGO-based analysis and papers, or from research publications.</p><p><p>The
      by 
      Plattner, Hasso.
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      management is changing the way businesses are run. Today, enterprise data is split into separate databases
      by 
      Martyr, Anthony.
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      the Engine and shaft selection 13. Test cell safety, control, and data acquisition 14. Data handling
      by 
      Wayner, Peter, 1964-
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      . These methods include encryption, compression, data embedding and watermarking, data mimicry, and
      by 
      Bernstein, Philip A.
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      major focus for business data processing investments, from banking and stock purchase on the web, to
      by 
      Brul, Stanley.
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      , particularly as minimal processing techniques have become more widely used. These processing methods operate
      by 
      Contos, Brian T.
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      Processing, Real-Time Analysis, and Response -- 12. ESM Event Storage and Forensic Analysis -- 13. Bridging
      by 
      Katz, David J.
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      processing tasks across multiple cores. * Program frameworks that optimize performance without needlessly
      by 
      Melton, Jim, 1946-
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      -line analytical processing (OLAP), management of external data (SQL/MED), and Java support. * Covers the ongoing
      by 
      Fu, Youran, author.
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      through three essays. We are in the middle of a remarkable rise in data analytics as available data, as