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

Today, the world is trying to create and educate data scientists because of the phenomenon of Big Data. And everyone is looking deeply into this technology. But no one is looking at the larger architectural picture of how Big Data needs to fit within the existing systems (data warehousing systems)....

Ausführliche Beschreibung

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Bibliographische Detailangaben
Beteiligte Personen: Inmon, William H. (VerfasserIn), Lindstedt, Daniel (VerfasserIn)
Format: Elektronisch E-Book
Sprache:Englisch
Veröffentlicht: Waltham, MA Morgan Kaufmann [2015]
Schlagwörter:
Links:https://learning.oreilly.com/library/view/-/9780128020449/?ar
Zusammenfassung:Today, the world is trying to create and educate data scientists because of the phenomenon of Big Data. And everyone is looking deeply into this technology. But no one is looking at the larger architectural picture of how Big Data needs to fit within the existing systems (data warehousing systems). Taking a look at the larger picture into which Big Data fits gives the data scientist the necessary context for how pieces of the puzzle should fit together. Most references on Big Data look at only one tiny part of a much larger whole. Until data gathered can be put into an existing framework or a.
Beschreibung:Includes index. - Online resource; title from title page (Safari, viewed January 7, 2015)
Umfang:1 Online-Ressource (1 volume) Illustrationen
ISBN:9780128020913
0128020911
012802044X
9780128020449