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Data Architecture: A Primer for the Data Scientist
- A Primer for the Data Scientist
Engelsk
Bogcover for Data Architecture: A Primer for the Data Scientist af Daniel Linstedt, W.H. Inmon, Mary Levins, 9780128169162
Specifikationer
Sprog:
Engelsk
Sider:
431
ISBN-13:
9780128169162
Indbinding:
Paperback
Udgave:
2
ISBN-10:
0128169168
Udg. Dato:
1 maj 2019
Størrelse i cm:
23,5 x 19,1 x 2,7
Oplagsdato:
1 maj 2019

Data Architecture: A Primer for the Data Scientist

- A Primer for the Data Scientist
Engelsk
Paperback 2019
Format:

Bog beskrivelse
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.
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Specifikationer
Sprog:
Engelsk
Sider:
431
ISBN-13:
9780128169162
Indbinding:
Paperback
Udgave:
2
ISBN-10:
0128169168
Udg. Dato:
1 maj 2019
Størrelse i cm:
23,5 x 19,1 x 2,7
Oplagsdato:
1 maj 2019
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