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Big data for dummies

by Hurwitz, J; Nugent, Alan; Kaufman. Marcia.
Material type: materialTypeLabelBookSeries: Publisher: USA : Wiley, c2013Description: xxii, 312 pages : illustrations ; 24 cm.ISBN: 978-1-118-50422-2.Other title: Big data.Subject(s): Data analysis | Internet | Technological innovations
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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Item type Location Collection Call number Status Date due Barcode Item holds
Books & monographs
CIMMYT Knowledge Center: John Woolston Library

Lic. Jose Juan Caballero Flores

 

General Book Collection 005.74 HUR (Browse shelf) Checked out 06/23/2017 636048
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.

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