Big Data Driven Architecture for Medical Knowledge Management Systems in Intracranial Hemorrhage Diagnosis

Le, Thi-Hoang-Yen; Phan, Thuong-Cang; Phan, Anh-Cang

doi:10.1007/978-3-319-75429-1_18

Cited by 2 publications

(3 citation statements)

References 10 publications

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“…Table VII lists the tools cited more than once. Of all the tools, Apache Hadoop was the most mentioned, having 37 citations ( [1], [6], [8], [9], [12], [18], [23]- [25], [27], [28], [30], [31], [40], [42]- [44], [47], [48], [50], [52], [55], [61], [65], [67]- [71], [73], [76], [80], [82]- [86], [88]). Hadoop is a platform that allows distributed processing of large data sets in computer clusters.…”

Section: Resultsmentioning

confidence: 99%

“…Tableau is a software for interactive data visualization. [6], [9], [31], [47], [55], [68], [76], [82], [85] Apache Flume 7 [1], [6], [27], [52], [61], [70], [83] Apache Sqoop 5 [1], [27], [47], [52], [ [6], [21], [40], [41], [45] MongoDB 6 [16], [33], [35], [41], [43], [ [1], [6], [8], [9], [12], [18], [24], [27], [33], [35], [40], [42], [44], [47], [49], [51], [52], [55], [61], [68], [69], [71],…”

Section: Resultsmentioning

confidence: 99%

“…Initial Accepted Scopus 108 53 papers: [1]- [3], [5], [9], [10], [13]- [19], [23]- [29], [31]- [33], [37], [40], [45], [49], [50], [57], [60]- [66], [68], [70], [71], [73], [76]- [78], [81]- [84], [88], [90], [91], [93]- [95] Springer 222 20 papers: [4], [6], [12], [21], [30], [36], [38], [39], [41]- [43], [47], [51], [53], [69], [74], [79], [85], [86], [92] Google Scholar 197 6 papers:...…”

Section: Sourcementioning

confidence: 99%

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A Mapping Study about Data Lakes: An Improved Definition and Possible Architectures

Couto¹,

Borges²,

Ruiz³

et al. 2019

International Conferences on Software Engineering and Knowledge Engineering

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In the past few years, data lakes emerged as a trending topic in big data technologies. Although literature presents different points of view related to its functionalities, it serves mainly to store a variety of data in a big data context. In this paper, we aim to identify and analyze data lake definitions and possible architectures. Our methodology was composed of a systematic literature mapping based on PRISMA, software engineering best practices to perform reviews, and Kappa method to assess results' quality. We performed the search in eight different electronic databases to achieve a wide variety of publishers in Computer Science. We first identified 662 papers matching our search criteria; after filtering, we selected 87 papers for review. We found that the term data lakes was first defined by James Dixon in 2010. We also found that the term is often related to raw data repositories. From the identified definitions, we propose a new one as a means to better state what data lakes refer to and improve how the community use them. Moreover, we foind that Hadoop and its ecosystem compose the most used toolset to create data lakes, revealing that this is the mainstream in architectures for data lakes as of today's available technologies.

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