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  • Hurwitz, Judith.
     
     Subjects
     
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  • Big data -- Social aspects.
     
  •  
  • Internet -- Social aspects.
     
  •  
  • Electronic information resources -- Social aspects.
     
  •  
  • Technological innovations -- Social aspects.
     
  •  
  • Social change.
     
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  •  Hurwitz, Judith.
     
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  •  Big data for dummies...
     
     
     
     MARC Display
    Big data for dummies [electronic resource] / by Judith Hurwitz, Alan Nugent, Fern Halper, and Marcia Kaufman.
    by Hurwitz, Judith.
    View full image
    Hoboken, N.J. : Wiley, 2013.
    Subjects
  • Big data -- Social aspects.
  •  
  • Internet -- Social aspects.
  •  
  • Electronic information resources -- Social aspects.
  •  
  • Technological innovations -- Social aspects.
  •  
  • Social change.
  • Electronic Resourcehttp://hawaii.lib.overdrive.com/ContentDetails.htm?ID=085F8ECD-4BBA-47C7-A338-29BE396FFD0C This title is available online; click here to access
    Electronic Resourcehttp://images.contentreserve.com/ImageType-100/0128-1/{085F8ECD-4BBA-47C7-A338-29BE396FFD0C}Img100.jpg
    ISBN: 
    9781118644010 (electronic bk.)
    1118644018 (electronic bk.)
    9781118644171 (electronic bk.)
    1118644174 (electronic bk.)
    Description: 
    1 online resource : ill.
    Contents: 
    Grasping the fundamentals of big data -- Examining big data types -- Old meets new: distributed computing -- Digging into the big data technology components -- Virtualization and how it supports distributed computing -- Examining the cloud and big data -- Operational databases -- MapReduce fundamentals -- Exploring the world of Hadoop -- The Hadoop foundation and ecosystem -- Appliances and big data warehouses -- Defining big data analytics -- Understanding text analytics and big data -- Customized approaches for analysis of big data -- Integrating data sources -- Dealing with real-time data streams and complex event processing -- Operationalizing big data -- Applying big data within your organization -- Security and governance for big data environments -- The importance of big data to business -- Analyzing data in motion: a real-world view -- Improving business processes with big data analytics: a real-world view -- Ten big data best practices -- Ten great big data resources -- Ten big data do's and don'ts.
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