Quarry: A user-centered big data integration platform

View/Open
Cita com:
hdl:2117/330646
Document typeArticle
Defense date2021-02
Rights accessOpen Access
All rights reserved. This work is protected by the corresponding intellectual and industrial
property rights. Without prejudice to any existing legal exemptions, reproduction, distribution, public
communication or transformation of this work are prohibited without permission of the copyright holder
Abstract
Obtaining valuable insights and actionable knowledge from data requires cross-analysis of domain data typically coming from various sources. Doing so, inevitably imposes burdensome processes of unifying different data formats, discovering integration paths, and all this given specific analytical needs of a data analyst. Along with large volumes of data, the variety of formats, data models, and semantics drastically contribute to the complexity of such processes. Although there have been many attempts to automate various processes along the Big Data pipeline, no unified platforms accessible by users without technical skills (like statisticians or business analysts) have been proposed. In this paper, we present a Big Data integration platform (Quarry) that uses hypergraph-based metadata to facilitate (and largely automate) the integration of domain data coming from a variety of sources, and provides an intuitive interface to assist end users both in: (1) data exploration with the goal of discovering potentially relevant analysis facets, and (2) consolidation and deployment of data flows which integrate the data, and prepare them for further analysis (descriptive or predictive), visualization, and/or publishing. We validate Quarry’s functionalities with the use case of World Health Organization (WHO) epidemiologists and data analysts in their fight against Neglected Tropical Diseases (NTDs).
CitationJovanovic, P. [et al.]. Quarry: A user-centered big data integration platform. "Information systems frontiers", Febrer 2021, vol. 23, p. 9-33.
ISSN1387-3326
Publisher versionhttps://link.springer.com/article/10.1007%2Fs10796-020-10001-y
Collections
- Doctorat Erasmus Mundus en Tecnologies de la Informació per a la Intel·ligència Empresarial - Articles de revista [6]
- inSSIDE - integrated Software, Service, Information and Data Engineering - Articles de revista [113]
- Departament d'Enginyeria de Serveis i Sistemes d'Informació - Articles de revista [210]
- IMP - Information Modeling and Processing - Articles de revista [116]
Files | Description | Size | Format | View |
---|---|---|---|---|
Quarry-ISF.pdf | 2,123Mb | View/Open |