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Autor Inmon, William H., author.

Título Data architecture : a primer for the data scientist : big data, data warehouse and data vault / William H. Inmon, Dan Linstedt.

Publicación Amsterdam : Elsevier, [2014]
ò015
Descripción física 1 online resource
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
Colección ScienceDirect 2015/16
Resumen: 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. You'll be able to: Turn textual information into a form that can be analyzed by standard tools. Make the connection between analytics and Big DataUnderstand how Big Data fits within an existing systems environment Conduct analytics on repetitive and non-repetitive data.
Materia Data warehousing.
Big data.
COMPUTERS -- Data Modeling & Design.
Big data. (OCoLC)fst01892965
Data warehousing. (OCoLC)fst00888026
Autor secundario Linstedt, Dan, author.
ISBN/ISSN 016955847 Uk
016945767 Uk
ISBN 9780128020449 (electronic bk.)
012802044X (electronic bk.)
9780128020913 (electronic bk.)
0128020911 (electronic bk.)
ISBN/ISSN CHBIS 010547558
CHVBK 341780677
DEBSZ 427902614
GBVCP 81517473X
NZ1 15919182