Title
Data collection architecture for big data - A framework for a research agenda
Author
Hofman, W.J.
Contributor
Zelm, M. (editor)
Publication year
2015
Abstract
As big data is expected to contribute largely to economic growth, scalability of solutions becomes apparent for deployment by organisations. It requires automatic collection and processing of large, heterogeneous data sets of a variety of resources, dealing with various aspects like improving quality, fusion and linking data sets to provide homogeneous data to data analytics algorithms that are able to detect patterns or anomalies. This paper introduces two components in a data sharing architecture for big data. It presents the state of the art as basis for a research agenda. Aspects like ransport, storage, and processing are important for big data, but not addressed by this paper. Copyright © 2015 by the paper's authors. Copying permitted only for private and academic purposes.
Subject
ICT
BIS - Business Information Services
TS - Technical Sciences
Infostructures
Informatics
Information Society
Data handling
Digital storage
Economics
Interoperability
Data analytics
Data collection
Data sharing architecture
Economic growths
Heterogeneous data
Research agenda
State of the art
Two-component
Big data
To reference this document use:
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TNO identifier
527974
Publisher
CEUR-WS
Source
Proceedings of the 6th Workshop on Enterprise Interoperability, 27 may 2015, Nimes, France
Series
CEUR Workshop Proceedings
Document type
conference paper