Abstract
Data nowadays is an extremely valuable resource. However, they are created and stored in different places with various formats and types. As a result, it is not easy and efficient for data analysis and data mining which can make profits for every aspect of social applications. In order to overcome this problem, a data conversion is a crucial step that we have to build for linking and merging different data resources to a unified data store. In this paper, based on the intermediate data conversion model, we propose an elastic data conversion framework for data integration system.
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Acknowledgements
This work is supported by a project with the Department of Science and Technology, Ho Chi Minh City, Vietnam (contract with HCMUT No. 42/2019/HD-QPTKHCN, dated 11/7/2019).
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Dang, T.K., Ta, M.H., Hoang Nguyen, L. (2020). An Elastic Data Conversion Framework for Data Integration System. In: Dang, T.K., Küng, J., Takizawa, M., Chung, T.M. (eds) Future Data and Security Engineering. Big Data, Security and Privacy, Smart City and Industry 4.0 Applications. FDSE 2020. Communications in Computer and Information Science, vol 1306. Springer, Singapore. https://doi.org/10.1007/978-981-33-4370-2_3
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DOI: https://doi.org/10.1007/978-981-33-4370-2_3
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