Data architecture : a primer for the data scientist /

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Data Architecture: A Primer for the Data Scientist: Big Data, Data Warehouse and Data Vault, Second Edition, addresses how Big Data fits within the existing information infrastructure and data warehousing systems. This is an essential topic as researchers and engineers increasingly need to deal with...

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Bibliographic Details
Call Number:Libro Electrónico
Main Authors: Inmon, William H. (Author), Linst, Daniel (Author), Levins, Mary (Author)
Format: Electronic eBook
Language:Inglés
Published: London, United Kingdom ; San Diego, CA : Academic Press, [2019]
Edition:Second edition.
Subjects:
Data warehousing.
Big data.
Electronic data processing.
Information retrieval.
Information Storage and Retrieval
Entrep�ots de donn�ees (Informatique)
Donn�ees volumineuses.
Recherche de l'information.
information retrieval.
COMPUTERS > Data Modeling & Design.
Information retrieval
Electronic data processing
Big data
Data warehousing
Online Access:Texto completo
Description
Summary:Data Architecture: A Primer for the Data Scientist: Big Data, Data Warehouse and Data Vault, Second Edition, addresses how Big Data fits within the existing information infrastructure and data warehousing systems. This is an essential topic as researchers and engineers increasingly need to deal with large and complex sets of data. Until data is gathered and placed into an existing framework or architecture, it cannot be used to its full potential. Drawing upon years of practical experience and using numerous examples and case studies from across industries, the authors explain where Big Data fits, giving data scientists the necessary context for how pieces of the puzzle should fit together.
Item Description:Includes index.
Physical Description:1 online resource (xv, 416 pages) : illustrations (chiefly color)
ISBN:9780128169179
0128169176

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