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大数据报告：A near-term outlook for big data
chj1983wd
11071 116
2013-07-29
  • 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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力量小子让我哈
2013-7-29 11:30:05
学习学习
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zzlgs
2013-7-29 11:42:27
霸气标题，
看看先
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yanghaiting
2013-7-29 12:56:26
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wenhai66
2013-7-29 12:59:19
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dolphinic
2013-7-29 13:09:43
多谢分享
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