Store besparelser
Hurtig levering
Gemte
Log ind
0
Kurv
Bøger
Bestsellers
Kommer snart
Nyheder
Spil og hobby
Hjem
Kategorier
Bestsellers
Kommer snart
Nyheder
FAQ
Konto
Kontakt
Kurv
  1. Bog
  2. Menneske-maskine-interaktion
  3. Informationsarkitektur

Data Architecture: A Primer for the Data Scientist

- A Primer for the Data Scientist
Af: Daniel Linstedt, W.H. Inmon, Mary Levins Engelsk Paperback

Data Architecture: A Primer for the Data Scientist

- A Primer for the Data Scientist
Af: Daniel Linstedt, W.H. Inmon, Mary Levins Engelsk Paperback
Tjek vores konkurrenters priser
Over the past 5 years, the concept of big data has matured, data science has grown exponentially, and data architecture has become a standard part of organizational decision-making. Throughout all this change, the basic principles that shape the architecture of data have remained the same. There remains a need for people to take a look at the "bigger picture" and to understand where their data fit into the grand scheme of things. 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.
Vis mere
Tjek vores konkurrenters priser
Normalpris
kr 573
Fragt: 39 kr
6 - 8 hverdage
20 kr
Pakkegebyr
God 4 anmeldelser på
Tjek vores konkurrenters priser
Over the past 5 years, the concept of big data has matured, data science has grown exponentially, and data architecture has become a standard part of organizational decision-making. Throughout all this change, the basic principles that shape the architecture of data have remained the same. There remains a need for people to take a look at the "bigger picture" and to understand where their data fit into the grand scheme of things. 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.
Vis mere
Se mere i:
Produktdetaljer
Sprog: Engelsk
Sider: 431
ISBN-13: 9780128169162
Indbinding: Paperback
Udgave: 2
ISBN-10: 0128169168
Kategori: Informationsarkitektur
Udg. Dato: 1 maj 2019
Længde: 27mm
Bredde: 191mm
Højde: 235mm
Forlag: Elsevier Science Publishing Co Inc
Oplagsdato: 1 maj 2019
Forfatter(e): Daniel Linstedt, W.H. Inmon, Mary Levins
Forfatter(e) Daniel Linstedt, W.H. Inmon, Mary Levins

Kategori Informationsarkitektur

ISBN-13 9780128169162

Sprog Engelsk

Indbinding Paperback

Sider 431

Udgave 2

Længde 27mm

Bredde 191mm

Højde 235mm

Udg. Dato 1 maj 2019

Oplagsdato 1 maj 2019

Forlag Elsevier Science Publishing Co Inc

Kategori sammenhænge