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)....

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Bibliographic Details
Main Author: Inmon, William H., 1945- (Author) 
Other Authors: Linstedt, Daniel (Author) 
Corporate Author: ScienceDirect (online služba) (Distributor) 
Format: eBook
Language:English
Published: Amsterdam ; Boston ; Heidelberg ; London ; New York ; Oxford ; Paris ; San Diego ; San Francisco ; Singapore ; Sydney ; Tokyo : Academic Press is an imprint of Elsevier, 2015
Genre/form:příručky
elektronické knihy
ISBN:978-0-12-802044-9
978-0-12-802091-3
012802044X
0128020911
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Online Access:Full-text
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Summary: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 architecture it can't be used to its full potential. Data Architecture a Primer for the Data Scientist addresses the larger architectural picture of how Big Data fits with the existing information infrastructure, an essential topic for the data scientist. Drawing upon years of practical experience and using numerous examples and an easy to understand framework. W.H. Inmon, and Daniel Linstedt define the importance of data architecture and how it can be used effectively to harness big data within existing systems.
Item Description:Terminologický slovník
Obsahuje rejstřík
Physical Description:1 online zdroj (xxi, 355 stran) : ilustrace (barevné)