LiveData -- A Worldwide Data Mesh for Stratified Data
Simone Bocca, Amarsanaa Ganbold, Tsolmon Zundui

TL;DR
LiveData is a novel worldwide data mesh architecture that transforms data heterogeneity into a feature, enabling high-quality, diverse, and interoperable data sharing across countries to facilitate data reuse and integration.
Contribution
The paper introduces LiveData, a new data distribution network architecture that explicitly models data heterogeneity as a feature to improve cross-country data reuse.
Findings
Specification of LiveData architecture and data handling
Implementation of a use case between Italy and Mongolia
Enhanced data diversity and interoperability
Abstract
Data reuse is fundamental for reducing the data integration effort required to build data supporting new applications, especially in data scarcity contexts. However, data reuse requires to deal with data heterogeneity, which is always present in data coming from different sources. Such heterogeneity appears at different levels, like the language used by the data, the structure of the information it represents, and the data types and formats adopted by the datasets. Despite the valuable insights gained by reusing data across contexts, dealing with data heterogeneity is still a high price to pay. Additionally, data reuse is hampered by the lack of data distribution infrastructures supporting the production and distribution of quality and interoperable data. These issues affecting data reuse are amplified considering cross-country data reuse, where geographical and cultural differences are…
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Taxonomy
TopicsBig Data Technologies and Applications · Time Series Analysis and Forecasting · Advanced Clustering Algorithms Research
