Big data, big analytics : (Record no. 22056)

000 -LEADER
fixed length control field 04767cam a2200361 a 4500
FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 121109s2013 njua b 001 0 eng
LIBRARY OF CONGRESS CONTROL NUMBER
LC control number 2012044882
INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781118147603
CATALOGING SOURCE
Original cataloging agency DLC
Language of cataloging eng
Transcribing agency DLC
Modifying agency DLC
AUTHENTICATION CODE
Authentication code pcc
LIBRARY OF CONGRESS CALL NUMBER
Classification number HD38.7
Item number .M565 2013
DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 658.4/72
Edition number 23
SYSTEM CONTROL NUMBER
System control number (IMchF)fol14548412
DATE AND TIME OF LATEST TRANSACTION
control field 20170126100202.0
CONTROL NUMBER
control field 55088
CONTROL NUMBER IDENTIFIER
control field UOWD
MAIN ENTRY--PERSONAL NAME
Personal name Minelli, Michael,
Dates associated with a name 1974-
TITLE STATEMENT
Title Big data, big analytics :
Remainder of title emerging business intelligence and analytic trends for today's businesses /
Statement of responsibility, etc Michael Minelli, Michele Chambers, Ambiga Dhiraj.
PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc Hoboken, N.J. :
Name of publisher, distributor, etc John Wiley & Sons, Inc.,
Date of publication, distribution, etc 2013.
PHYSICAL DESCRIPTION
Extent xxiii, 187 p. :
Other physical details ill. ;
Dimensions 25 cm.
BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc Includes bibliographical references and index.
SUMMARY, ETC.
Summary, etc Unique prospective on the big data analytics phenomenon for both business and IT professionals The availability of Big Data, low-cost commodity hardware and new information management and analytics software has produced a unique moment in the history of business.
FORMATTED CONTENTS NOTE
Formatted contents note Foreword Preface Acknowledgments Chapter 1 What Is Big Data and Why Is It Important? A Flood of Mythic "Start-up" Proportions Big Data is More Than Merely Big Why Now? A Convergence of Key Trends Relatively Speaking... A Wider Variety of Data The Expanding Universe of Unstructured Data Setting the Tone at the Top Notes Chapter 2 Industry Examples of Big Data Digital Marketing and the Non-line World Don't Abdicate Relationships Is IT Losing Control of Web Analytics? Database Marketers, Pioneers of Big Data Big Data and the New School of Marketing Fraud and Big Data Risk and Big Data Credit Risk Management Big Data and Algorithmic Trading Calculating Risk in Marketing Other Industries Benefit from Banking's Risk Experience Big Data and Advances in Healthcare "Disruptive Analytics" A Holistic Value Proposition BI is not Data Science Pioneering New Frontiers in Medicine Advertising and Big Data: From Papyrus to Seeing Somebody Big Data Feeds the Modern Day Draper Measurement Can Be Tricky Beard's Take on the Three Big Data V's in Advertising Using Consumer Products as a Doorway Notes Chapter 3 Big Data Technology The Elephant in the Room: Hadoop's Parallel World Old versus New Approaches Data Discovery: Work the Way People's Minds Work Open Source Technology for Big Data Analytics The Cloud and Big Data Predictive Analytics Moves into the Limelight Software as a Service BI Mobile Business Intelligence is Going Mainstream Ease of Mobile Application Deployment Crowdsourcing Analytics Inter and Trans Firewall Analytics R&D Approach Helps Adopt New Technology Adding Big Data Technology into the Mix Big Data Technology Terms Data Size 101 Notes Chapter 4 Information Management The Big Data Foundation Big Data Computing Platforms (or Computing Platforms that can handle the Big Data Analytics Tsunami) Big Data Computation More on Big Data Storage Big Data Computational Limitations Big Data Emerging Technologies Chapter 5 Business Analytics The Last Mile in Data Analysis Listening: Is it Signal or Noise? Consumption of Analytics From Creation to Consumption Visualizing: How to Make It Consumable? Organizations are using Data Visualization as a Way to Take Immediate Action Moving from Sampling to Using All the Data Thinking Outside the Box 360 Degree Modeling Need for Speed Let's Get Scrappy What Technology is Available? Moving from beyond the Tools to Analytic Applications Notes Chapter 6 The People Part of the Equation Rise of the Data Scientist Learning over Knowing Using Deep Math, Science and Computer Science The 90/10 Rule and Critical Thinking Analytic Talent and Executive Buy-in Developing Decision Sciences Talent Holistic View of Analytics Creating Talent for Decision Sciences Creating a Culture that Nurtures Decision Sciences Talent Setting up the Right Organizational Structure for Institutionalizing Analytics Chapter 7 Data Privacy and Ethics The Privacy Landscape The Great Data Grab Isn't New Preferences, Personalization, and Relationships Rights and Responsibility Playing in a Global Sandbox Conscientious and Conscious Responsibility Privacy May Be the Wrong Focus Can Data Be Anonymized? Balancing for Counter Intelligence Now What? Notes Conclusion Recommended Resources About the Authors Index.
SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Business intelligence.
SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Information technology.
SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Data processing.
SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Data mining.
SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Strategic planning.
ADDED ENTRY--PERSONAL NAME
Personal name Chambers, Michele.
ADDED ENTRY--PERSONAL NAME
Personal name Dhiraj, Ambiga,
Dates associated with a name 1975-
ADDITIONAL PHYSICAL FORM ENTRY
Display text Online version:
Main entry heading Minelli, Michael, 1974-
Title Big data, big analytics
Place, publisher, and date of publication Hoboken, New Jersey : John Wiley & Sons, Inc., [2013]
International Standard Book Number 9781118225837
Record control number (DLC) 2012046973
ADDED ENTRY ELEMENTS (KOHA)
Koha item type REGULAR
Holdings
Lost status Source of classification or shelving scheme Damaged status Not for loan Permanent Location Current Location Shelving location Date acquired Source of acquisition Total Checkouts Full call number Barcode Date last seen Date checked out Cost, replacement price Price effective from Koha item type
        University of Wollongong in Dubai University of Wollongong in Dubai MAIN 2013-11-12 AMAUK 2 658.472 MI BI T0049432 2018-10-01 2018-09-17 21.76 2017-01-26 REGULAR

Powered by Koha