大数据报告：A near-term outlook for big data

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• Table of contents
• Introduction
• Big data: beyond analytics — by Krishnan Subramanian
  
  • Data quality
  • Data obesity
  • Data markets
  • Cloud platforms and big data
  • Outlook
    
• The role of M2M in the next wave of big data — by Lawrence M. Walsh
  
  • The M2M tsunami
  • Carriers driving M2M growth
  • The storage bits, not bytes
  • M2M security considerations
  • The M2M future
    
• 2012: The Hadoop infrastructure market booms — by Jo Maitland
  
  • Snapshot: current trends
  • Disruption vectors in the Hadoop platform market
    
    • Methodology
    • Integration
    • Deployment
    • Access
    • Reliability
    • Data security
    • Total cost of ownership (TCO)
      
  • Hadoop market outlook
  • Alternatives to Hadoop
    
• Considering information-quality drivers for big data analytics — by David Loshin
  
  • Snapshot: traditional data quality and the big data conundrum
  • Information-quality drivers for big data
  • Expectations for information utility
  • Tags, structure and semantics
  • Repurposing and reinterpretation
  • Big data quality dimensions
  • Data sets, data streams and information-quality assessment
    
• The big data tsunami meets the next generation of smart-grid companies — by Adam Lesser
  
  • Meter data management systems (MDMS): going beyond the first wave of smart-grid big data applications
  • Apply IT to commercial and industrial demand response: GridMobility, SCIenergy, Enbala Power Networks
  • Using IT to transform consumer behavior
  • Finally, the customer
    
• Big data and the future of health and medicine — by Jody Ranck, DrPH
  
  • Calculating the cost of health care
  • Health care’s data deluge
  • Challenges
  • Drivers
  • Key players in the health big data picture
  • Looking ahead
    
• Why service providers matter for the future of big data — by Derrick Harris
  
  • Snapshot: What’s happening now?
    
    • Systems-first firms
    • Algorithm specialists
    • The whole package
    • The vendors themselves
      
  • Is disruption ahead for data specialists?
  • Analytics-as-a-Service offerings
  • Advanced analytics as COTS software
  • What the future holds
    
• Challenges in data privacy — by Curt A. Monash, Ph.D.
  
  • Simplistic privacy doesn’t work
  • What information can be held against you?
  • Translucent modeling
  • If not us, who?
    
• About the authors
• About GigaOM Pro
  

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