Too big to ignore the business case for big data /

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Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριος συγγραφέας:	Simon, Phil
Συγγραφή απο Οργανισμό/Αρχή:	ebrary, Inc
Μορφή:	Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:	Αγγλικά
Έκδοση:	Hoboken, N.J. : John Wiley & Sons, c2013.
Σειρά:	Wiley & SAS business series.
Θέματα:	Business > Data processing. Data mining. Database management. Big data. Electronic books.
Διαθέσιμο Online:	An electronic book accessible through the World Wide Web; click to view
Ετικέτες:	Προσθήκη ετικέτας Δεν υπάρχουν, Καταχωρήστε ετικέτα πρώτοι!

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008	150303s2013 njua sb 001 0 eng d
020			\|z 9781118638170
020			\|z 9781118641682 (Mobi)
020			\|z 9781118641866 (ePub)
020			\|z 9781118642108 (ePDF)
035			\|a (CaPaEBR)ebr10674786
035			\|a (OCoLC)842854711
040			\|a CaPaEBR \|c CaPaEBR
050	1	4	\|a QA76.9.D343 \|b S594 2013eb
082	0	4	\|a 006.3/12 \|2 23
100	1		\|a Simon, Phil.
245	1	0	\|a Too big to ignore \|h [electronic resource] : \|b the business case for big data / \|c Phil Simon.
260			\|a Hoboken, N.J. : \|b John Wiley & Sons, \|c c2013.
300			\|a 1 online resource (xxiii, 231 p.) : \|b ill.
490	1		\|a Wiley & SAS business series
504			\|a Includes bibliographical references and index.
533			\|a Electronic reproduction. \|b Palo Alto, Calif. : \|c ebrary, \|d 2015. \|n Available via World Wide Web. \|n Access may be limited to ebrary 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		7	\|a Electronic books. \|2 local
710	2		\|a ebrary, Inc.
830		0	\|a Wiley & SAS business series.
856	4	0	\|u http://site.ebrary.com/lib/daystar/Doc?id=10674786 \|z An electronic book accessible through the World Wide Web; click to view
908			\|a 170314
942	0	0	\|c EB
999			\|c 155145 \|d 155145