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Big data for dummies / by Judith Hurwitz, Alan Nugent, Fern Halper, and Marcia Kaufman.

By: Series: Publication details: Hoboken, NJ : For Dummies, a Wiley brand, 2013Description: xxii, 312 pages : illustrations ; 24 cmISBN:
  • 9788126543281
  • 9781118504222
  • 1118504224
Other title:
  • Big data
Subject(s): DDC classification:
  • 005.75 23
LOC classification:
  • QA76.9.D343 H87 2013
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.
Summary: Explains big data in detail and discusses how to select and implement a solution, security concerns to consider, data storage and presentation issues, analytics, and much more.
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Holdings
Item type Current library Home library Call number Copy number Status Date due Barcode Item holds
Book Book Ayesha Abed Library General Stacks Ayesha Abed Library General Stacks 005.75 HUR (Browse shelf(Opens below)) 1 Checked out 14/07/2024 3010034243
Book Book Ayesha Abed Library General Stacks Ayesha Abed Library General Stacks 005.75 HUR (Browse shelf(Opens below)) 2 Available 3010034244
Total holds: 0

Includes index.

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.

Explains big data in detail and discusses how to select and implement a solution, security concerns to consider, data storage and presentation issues, analytics, and much more.

CSE

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