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HAWAII STATE PUBLIC LIBRARY SYSTEM
Item Information
Summary
More Content
More by this author
Hurwitz, Judith.
Subjects
Big data -- Social aspects.
Internet -- Social aspects.
Electronic information resources -- Social aspects.
Technological innovations -- Social aspects.
Social change.
Browse Catalog
by author:
Hurwitz, Judith.
by title:
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.
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 Resource
http://hawaii.lib.overdrive.com/ContentDetails.htm?ID=085F8ECD-4BBA-47C7-A338-29BE396FFD0C
This title is available online; click here to access
Electronic Resource
http://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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