Big Data Storage for a Health Predictive System
João Rala Cordeiro, Octavian Adrian Postolache · 2018
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.