Intermediate Data Format for the Elastic Data Conversion Framework

• Published in: 2021 15th International Conference on Ubiquitous Information Management and Communication (IMCOM) pp. 1 - 5
• Main Authors: Dang, Tran Khanh, Huy, Ta Manh, Hoang, Nguyen Le
• Format: Conference Proceeding
• Language: English
• Published: IEEE 04.01.2021
• Subjects: Data conversion; data format; data integration system; Data models; data transformation; data type; Load modeling; Loading; open data; Relational databases; Scalability; XML
• DOI: 10.1109/IMCOM51814.2021.9377366

With the development of technology, data is becoming an extremely valuable resource. Data is being created, analyzed and used in a massive scale in every modern system. As a result, data analysis and data mining are very essential in each aspect of social applications. The value of data will be more useful if it can be linked and merged with other different data resources, especially for solving current social problems. In order to make a reality of this big challenge, data transformation is a crucial step that we have to overcome. Among data conversion methods, the intermediate method is to be a preferable one due to its expandable ability. However, for this type of model, finding the intermediate data type for the system is the crucial problem that needs to be solved firstly. In this paper, we will make comparisons among some popular data formats to find the appropriate data type for this elastic data conversion system.