Categories for (Big) Data models and optimization

Categories for (Big) Data models and optimization

Abstract This paper proposes a theoretical foundation for Big Data. More precisely, it explains how “functors”, a concept coming from Category Theory, can serve to model the various data structures commonly used to represent (large) data sets, and how “natural transformations” can formalize relation...

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Bibliographic Details
Main Authors: Laurent Thiry, Heng Zhao, Michel Hassenforder
Format: Article
Language:English
Published: SpringerOpen 2018-07-01
Series:Journal of Big Data
Subjects:
Data models
Category Theory
Functional programming
Performance
Online Access:http://link.springer.com/article/10.1186/s40537-018-0132-9

Internet

http://link.springer.com/article/10.1186/s40537-018-0132-9

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