大数据时代——A near-term outlook for big data

hahajing

By GigaOM Pro
Table of contents
INTRODUCTION  5
BIG DATA: BEYOND ANALYTICS — BY KRISHNAN SUBRAMANIAN  6
Data quality  7
Data obesity  9
Data markets  11
Cloud platforms and big data  12
Outlook  14
THE ROLE OF M2M IN THE NEXT WAVE OF BIG DATA — BY LAWRENCE M. WALSH
  16
The M2M tsunami  18
Carriers driving M2M growth  20
The storage bits, not bytes  22
M2M security considerations  23
The M2M future  25
2012: THE HADOOP INFRASTRUCTURE MARKET BOOMS — BY JO MAITLAND  26
Snapshot: current trends  27
Disruption vectors in the Hadoop platform market  29
Methodology  29
Integration  31
Deployment  32
Access 33
Reliability  34
Data security  36
Total cost of ownership (TCO)  37
Hadoop market outlook  38
Alternatives to Hadoop  39
CONSIDERING INFORMATION-QUALITY DRIVERS FOR BIG DATA ANALYTICS —
BY DAVID LOSHIN  41
Snapshot: traditional data quality and the big data conundrum  42
Information-quality drivers for big data  45
Expectations for information utility  45
Tags, structure and semantics  46
Repurposing and reinterpretation  48
Big data quality dimensions  49
Data sets, data streams and information-quality assessment  50
THE BIG DATA TSUNAMI MEETS THE NEXT GENERATION OF SMART-GRID
COMPANIES — BY ADAM LESSER  52
Meter data management systems (MDMS): going beyond the first wave of smart-grid
big data applications  53
Apply IT to commercial and industrial demand response: GridMobility, SCIenergy,
Enbala Power Networks  54
Using IT to transform consumer behavior  57
Finally, the customer  60
BIG DATA AND THE FUTURE OF HEALTH AND MEDICINE — BY JODY RANCK,
DRPH  62
Calculating the cost of health care  63
Health care’s data deluge  65
Challenges  66
Drivers  67
Key players in the health big data picture  69
Looking ahead  71
WHY SERVICE PROVIDERS MATTER FOR THE FUTURE OF BIG DATA — BY
DERRICK HARRIS  74
Snapshot: What’s happening now?  75
Systems-first firms  75
Algorithm specialists  76
The whole package  77
The vendors themselves  77
Is disruption ahead for data specialists?  78
Analytics-as-a-Service offerings  79
Advanced analytics as COTS software  80
What the future holds  82
CHALLENGES IN DATA PRIVACY — BY CURT A. MONASH, PHD  84
Simplistic privacy doesn’t work  85
What information can be held against you?  87
Translucent modeling  89
If not us, who?  91
ABOUT THE AUTHORS  94
About Derrick Harris  94
About Adam Lesser  94
About David Loshin  94
About Jo Maitland  95
About Curt A. Monash  95
About Jody Ranck  95
About Krishnan Subramanian  96
About Lawrence M. Walsh  96
ABOUT GIGAOM PRO  97