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Data Architecture: A Primer for the Data Scientist, Second Edition addresses the larger architectural picture of how big data fits within the existing information infrastructure or data warehousing systems. This is an essential topic not only for data scientists, analysts, and managers but also for researchers and engineers who increasingly need to deal with large and complex sets of data. Until data are gathered and can be placed into an existing framework or architecture, they cannot be used to their full potential. Drawing upon years of practical experience and using numerous examples and case studies from across various industries, the authors seek to explain this larger picture into which big data fits, giving data scientists the necessary context for how pieces of the puzzle should fit together.
Data Architecture: A Primer for the Data Scientist, Second Edition addresses the larger architectural picture of how big data fits within the existing information infrastructure or data warehousing systems. This is an essential topic not only for data scientists, analysts, and managers but also for researchers and engineers who increasingly need to deal with large and complex sets of data. Until data are gathered and can be placed into an existing framework or architecture, they cannot be used to their full potential. Drawing upon years of practical experience and using numerous examples and case studies from across various industries, the authors seek to explain this larger picture into which big data fits, giving data scientists the necessary context for how pieces of the puzzle should fit together.
Erscheinungsjahr: | 2019 |
---|---|
Fachbereich: | EDV |
Genre: | Informatik |
Rubrik: | Naturwissenschaften & Technik |
Medium: | Taschenbuch |
Inhalt: | Kartoniert / Broschiert |
ISBN-13: | 9780128169162 |
ISBN-10: | 0128169168 |
Sprache: | Englisch |
Herstellernummer: | C2018-0-01666-7 |
Autor: |
Inmon, W. H.
Linstedt, Daniel Levins, Mary |
Auflage: | 2. Aufl. |
Hersteller: |
Academic Press
Elsevier Science & Technology |
Verantwortliche Person für die EU: | Zeitfracht Medien GmbH, Ferdinand-Jühlke-Str. 7, D-99095 Erfurt, produktsicherheit@zeitfracht.de |
Maße: | 234 x 191 x 235 mm |
Von/Mit: | W. H. Inmon (u. a.) |
Erscheinungsdatum: | 01.05.2019 |
Gewicht: | 0,88 kg |
Erscheinungsjahr: | 2019 |
---|---|
Fachbereich: | EDV |
Genre: | Informatik |
Rubrik: | Naturwissenschaften & Technik |
Medium: | Taschenbuch |
Inhalt: | Kartoniert / Broschiert |
ISBN-13: | 9780128169162 |
ISBN-10: | 0128169168 |
Sprache: | Englisch |
Herstellernummer: | C2018-0-01666-7 |
Autor: |
Inmon, W. H.
Linstedt, Daniel Levins, Mary |
Auflage: | 2. Aufl. |
Hersteller: |
Academic Press
Elsevier Science & Technology |
Verantwortliche Person für die EU: | Zeitfracht Medien GmbH, Ferdinand-Jühlke-Str. 7, D-99095 Erfurt, produktsicherheit@zeitfracht.de |
Maße: | 234 x 191 x 235 mm |
Von/Mit: | W. H. Inmon (u. a.) |
Erscheinungsdatum: | 01.05.2019 |
Gewicht: | 0,88 kg |