DC Field | Value | Language |
dc.contributor.author | Stroo, M. G. | - |
dc.contributor.author | Broekmans, R. | - |
dc.date.accessioned | 2018-05-08T07:38:48Z | - |
dc.date.available | 2018-05-08T07:38:48Z | - |
dc.date.issued | 2018 | - |
dc.identifier.citation | Stroo, M. G. Data Vault CDVDM. Certified Data Vault Data Modeler Course / M. G. Stroo, R. Broekmans // BIG DATA Advanced Analytics: collection of materials of the fourth international scientific and practical conference, Minsk, Belarus, May 3 – 4, 2018 / editorial board: М. Batura [etc.]. – Minsk, BSUIR, 2018. – Р. 86 – 88. | ru_RU |
dc.identifier.uri | https://libeldoc.bsuir.by/handle/123456789/31368 | - |
dc.description.abstract | In this article Data Vault course is described. This course will guide you through the Data Vault modeling approach from modeling constructs and patterns to applying data vault principles in your DWBI program. This
course covers also loading paradigms, architectures, and how to develop an effective overall data vault data warehouse
program. | ru_RU |
dc.language.iso | en | ru_RU |
dc.publisher | БГУИР | ru_RU |
dc.subject | материалы конференций | ru_RU |
dc.subject | Data Vault | ru_RU |
dc.subject | course | ru_RU |
dc.subject | DWBI program | ru_RU |
dc.title | Data Vault CDVDM. Certified Data Vault Data Modeler Course | ru_RU |
dc.type | Статья | ru_RU |
Appears in Collections: | BIG DATA and Advanced Analytics. Использование BIG DATA для оптимизации бизнеса и информационных технологий (2018)
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