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Publication Detailed Description
Big data storage for a health predictive system
2018 International Symposium in Sensing and Instrumentation in IoT Era, ISSI 2018
Year (definitive publication)
2018
Language
English
Country
United States of America
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Abstract
When referring to health data processing and management quickly comes across the challenge for storing this kind of information. This article resumes the research for a storage model able to support a baby's multimodal healthcare predictive system, which our team is developing. We have took a structured approach where we define the data characteristics, the systems requirements and most significant operations required to our “business”. Understanding relational and non-relational approaches, and differences between NoSQL database categories we have defined what we consider the best approach for our scenario, is this case a mix of document and extensible record stores. Finally we analyze the different available technologies/platforms on this categories and how they can support our system requirements.
Acknowledgements
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Keywords
Healthcare databases,NoSQL categories,NoSQL DB analysis,Distributed databases,Health big data
Fields of Science and Technology Classification
- Computer and Information Sciences - Natural Sciences
Funding Records
| Funding Reference | Funding Entity |
|---|---|
| UID/EEA/50008/2013 | Fundação para a Ciência e a Tecnologia |
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