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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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Inmon, William H. (Autor), Linst, Daniel (Autor), Levins, Mary (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: London, United Kingdom ; San Diego, CA : Academic Press, [2019]
Edición:Second edition.
Temas:
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
Acceso en línea:Texto completo
Descripción
Sumario: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.
Notas:Includes index.
Descripción Física:1 online resource (xv, 416 pages) : illustrations (chiefly color)
ISBN:9780128169179
0128169176

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