Data architecture : : a primer for the data scientist : big data, data warehouse and data vault /

Data architecture : : a primer for the data scientist : big data, data warehouse and data vault / / W. H. Inmon, Dan Linstedt ; Steven Elliot, executive editor ; Mark Rogers, designer.

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Bibliographic Details
VerfasserIn:
Inmon, W. H.,
Linstedt, Dan,
TeilnehmendeR:
Linstedt, Dan,
Elliot, Steven,
Rogers, Mark,
Place / Publishing House:Amsterdam, Netherlands : : Morgan Kaufmann,, 2015.
2015
Year of Publication:2015
Language:English
Online Access:
Physical Description:1 online resource (378 pages) :; color illustrations
Notes:Includes index.
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ctrlnum (MiAaPQ)5001875436
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(CaPaEBR)ebr10997047
(CaONFJC)MIL666050
(OCoLC)900291708
collection bib_alma
record_format marc
spelling Inmon, W. H., author.
Data architecture : a primer for the data scientist : big data, data warehouse and data vault / W. H. Inmon, Dan Linstedt ; Steven Elliot, executive editor ; Mark Rogers, designer.
Amsterdam, Netherlands : Morgan Kaufmann, 2015.
2015
1 online resource (378 pages) : color illustrations
text rdacontent
computer rdamedia
online resource rdacarrier
Includes index.
Description based on print version record.
Electronic reproduction. Ann Arbor, MI : ProQuest, 2015. Available via World Wide Web. Access may be limited to ProQuest affiliated libraries.
Data warehousing.
Big data.
Electronic books.
Linstedt, Dan, author.
Elliot, Steven, editor.
Rogers, Mark, designer.
Print version: Inmon, W. H. Data architecture : a primer for the data scientist : big data, data warehouse and data vault. Amsterdam, Netherlands : Morgan Kaufmann, c2015 xxi, 355 pages 9780128020449 2014952973
ProQuest (Firm)
https://ebookcentral.proquest.com/lib/oeawat/detail.action?docID=1875436 Click to View
language English
format eBook
author Inmon, W. H.,
Linstedt, Dan,
spellingShingle Inmon, W. H.,
Linstedt, Dan,
Data architecture : a primer for the data scientist : big data, data warehouse and data vault /
author_facet Inmon, W. H.,
Linstedt, Dan,
Linstedt, Dan,
Elliot, Steven,
Rogers, Mark,
author_variant w h i wh whi
d l dl
author_role VerfasserIn
VerfasserIn
author2 Linstedt, Dan,
Elliot, Steven,
Rogers, Mark,
author2_variant s e se
m r mr
author2_role TeilnehmendeR
TeilnehmendeR
TeilnehmendeR
author_sort Inmon, W. H.,
title Data architecture : a primer for the data scientist : big data, data warehouse and data vault /
title_sub a primer for the data scientist : big data, data warehouse and data vault /
title_full Data architecture : a primer for the data scientist : big data, data warehouse and data vault / W. H. Inmon, Dan Linstedt ; Steven Elliot, executive editor ; Mark Rogers, designer.
title_fullStr Data architecture : a primer for the data scientist : big data, data warehouse and data vault / W. H. Inmon, Dan Linstedt ; Steven Elliot, executive editor ; Mark Rogers, designer.
title_full_unstemmed Data architecture : a primer for the data scientist : big data, data warehouse and data vault / W. H. Inmon, Dan Linstedt ; Steven Elliot, executive editor ; Mark Rogers, designer.
title_auth Data architecture : a primer for the data scientist : big data, data warehouse and data vault /
title_new Data architecture :
title_sort data architecture : a primer for the data scientist : big data, data warehouse and data vault /
publisher Morgan Kaufmann,
publishDate 2015
physical 1 online resource (378 pages) : color illustrations
isbn 9780128020913
9780128020449
callnumber-first Q - Science
callnumber-subject QA - Mathematics
callnumber-label QA76
callnumber-sort QA 276.9 D37 I566 42015
genre Electronic books.
genre_facet Electronic books.
url https://ebookcentral.proquest.com/lib/oeawat/detail.action?docID=1875436
illustrated Illustrated
dewey-hundreds 000 - Computer science, information & general works
dewey-tens 000 - Computer science, knowledge & systems
dewey-ones 005 - Computer programming, programs & data
dewey-full 005.745
dewey-sort 15.745
dewey-raw 005.745
dewey-search 005.745
oclc_num 900291708
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is_hierarchy_title Data architecture : a primer for the data scientist : big data, data warehouse and data vault /
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