Too big to ignore the business case for big data
(eBook)

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Published
Hoboken, N.J. : John Wiley & Sons, c2013.
Physical Desc
1 online resource (xxiii, 231 pages) : ill.
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Format
eBook
Language
English

Notes

Bibliography
Includes bibliographical references and index.
Reproduction
Electronic reproduction. Ann Arbor, MI : ProQuest, 2016. Available via World Wide Web. Access may be limited to ProQuest affiliated libraries.

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Citations

APA Citation, 7th Edition (style guide)

Simon, P. (2013). Too big to ignore: the business case for big data . John Wiley & Sons.

Chicago / Turabian - Author Date Citation, 17th Edition (style guide)

Simon, Phil. 2013. Too Big to Ignore: The Business Case for Big Data. John Wiley & Sons.

Chicago / Turabian - Humanities (Notes and Bibliography) Citation, 17th Edition (style guide)

Simon, Phil. Too Big to Ignore: The Business Case for Big Data John Wiley & Sons, 2013.

MLA Citation, 9th Edition (style guide)

Simon, Phil. Too Big to Ignore: The Business Case for Big Data John Wiley & Sons, 2013.

Note! Citations contain only title, author, edition, publisher, and year published. Citations should be used as a guideline and should be double checked for accuracy. Citation formats are based on standards as of August 2021.

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Grouped Work ID
bebf599d-df22-9f7f-8c2a-4347aac06f5e-eng
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Grouping Information

Grouped Work IDbebf599d-df22-9f7f-8c2a-4347aac06f5e-eng
Full titletoo big to ignore the business case for big data
Authorsimon phil
Grouping Categorybook
Last Update2022-06-07 21:23:19PM
Last Indexed2024-05-18 05:11:37AM

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First LoadedSep 2, 2022
Last UsedMay 20, 2024

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First DetectedAug 09, 2021 12:24:57 PM
Last File Modification TimeNov 22, 2021 08:27:06 AM

MARC Record

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4901 |a Wiley & SAS business series
504 |a Includes bibliographical references and index.
533 |a Electronic reproduction. Ann Arbor, MI : ProQuest, 2016. Available via World Wide Web. Access may be limited to ProQuest affiliated libraries.
588 |a Description based on online resource; title from title page (ebrary, viewed April 17, 2013).
650 0|a Business|x Data processing.
650 0|a Data mining.
650 0|a Database management.
650 0|a Big data.
655 4|a Electronic books.
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830 0|a Wiley & SAS business series.
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85640|u http://ebookcentral.proquest.com/lib/prescottcollege-ebooks/detail.action?docID=1144069|x Prescott College|y Prescott College users click here to access
85640|u http://ebookcentral.proquest.com/lib/yln-ebooks/detail.action?docID=1144069|x Yavapai Library Network|y All other users click here to access
945 |a E-Book