Big data @ work: Dispelling the myths, uncovering the opportunities (Record no. 10121)

MARC details
000 -LEADER
fixed length control field 01526cam a2200301 i 4500
001 - CONTROL NUMBER
control field 17903901
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220527090228.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 130930s2014 maua b 001 0 eng
010 ## - LIBRARY OF CONGRESS CONTROL NUMBER
LC control number 2013039005
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781422168165 (alk. paper)
040 ## - CATALOGING SOURCE
Original cataloging agency DLC
Language of cataloging eng
Transcribing agency DLC
Description conventions rda
Modifying agency D LC
042 ## - AUTHENTICATION CODE
Authentication code pcc
050 00 - LIBRARY OF CONGRESS CALL NUMBER
Classification number HD38.7
Item number .D379 2014
082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 658.4038
Edition number 22
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Davenport, Thomas H.,
Dates associated with a name 1954-
245 10 - TITLE STATEMENT
Title Big data @ work: Dispelling the myths, uncovering the opportunities
Statement of responsibility, etc. Thomas H. Davenport.
246 3# - VARYING FORM OF TITLE
Title proper/short title Big data at work
300 ## - PHYSICAL DESCRIPTION
Extent ix, 228 pages :
Other physical details illustrations ;
Dimensions 24 cm
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Includes bibliographical references (pages 211-216) and index.
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Why Big Data is important to you and your organization -- How Big Data will change your job, your company and your industry -- Developing a big data strategy -- The human side of Big Data -- The technology side of Big Data -- What it takes to succeed with Big Data -- What you can learn from start-ups and online firms -- What you can learn from large companies: Big Data and analytics 3.0.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Business intelligence
General subdivision Data processing.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Big data.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Business planning
General subdivision Statistical methods.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Data mining.
9 (RLIN) 8696
906 ## - LOCAL DATA ELEMENT F, LDF (RLIN)
a 7
b cbc
c orignew
d 1
e ecip
f 20
g y-gencatlg
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type Books
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection Home library Current library Shelving location Date acquired Source of acquisition Total Checkouts Full call number Barcode Date last seen Price effective from Koha item type
    Dewey Decimal Classification   Not For Loan Non-fiction Tan Tao University Tan Tao University General Stacks 01/22/2021 Gift of the ASIA   658.4038 AS-2020-0010 01/22/2021 01/22/2021 Books

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