Data architecture : a primer for the data scientist / W.H. Inmon, Daniel Linstedt, Mary Levins

By:

Inmon, William H, 1945- [VerfasserIn]

Contributor(s):

Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Publisher: London : Academic Press, [2019]Edition: Second EditionDescription: 1 Online-RessourceISBN:

9780128169179

Subject(s):

Additional physical formats: 9780128169162 | Erscheint auch als: Data architecture. Druck-Ausgabe Second edition. London : Academic Press, 2019. xv, 416 SeitenDDC classification:

005.745

LOC classification:

QA76.9.D37

Online resources:

Zugang im Netz des KIT

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 togetherPPN: PPN: 1685647022Package identifier: Produktsigel: BSZ-4-NLEBK-KAUB | ZDB-4-NLEBK

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