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What Can the Big Data Eco-System and Data Analytics Do for E-Health? A Smooth Review Study

机译:大数据生态系统和数据分析可以为电子健康做些什么?顺利审查研究

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In this paper we present a global overview of the present usage and future trends of the different big data ecosystems in the E-Health's scientific domains. Indeed, bioinformaticians as well as medicine practitioners are actually generating very large amounts of data, and thus storing, managing, and analyzing these large scale data-sets still represent a big challenge. The used Big Data ecosystems are involved at different steps of the production chain, i.e., from the acquisition of both structured and non-structured data, the storage in traditional and/or NoSQL databases, and finally the analytics using the Map Reduce framework. We will discuss in this smooth survey, all these parts of the ecosystem and will give some use cases on real data-sets in the domain.
机译:在本文中,我们在电子健康的科学域中的不同大数据生态系统的目前使用和未来趋势概述了全球概述。实际上,生物形态管理员以及医学从业者实际上正在产生非常大量的数据,从而存储,管理和分析这些大规模数据集仍然代表着大挑战。二手大数据生态系统涉及生产链的不同步骤,即,从采集结构化和非结构化数据,传统和/或NoSQL数据库中的存储,以及使用地图的分析来减少框架。我们将在此平滑调查中讨论,所有这些部分生态系统,并将在域中的实际数据集上提供一些用例。

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