Efficiency of JSON approach for Data Extraction and Query Retrieval

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dc.contributor.authorMohd Kamir Yusof
dc.contributor.authorMustafa Man
dc.date.accessioned2017-04-11T03:31:01Z
dc.date.available2017-04-11T03:31:01Z
dc.date.issued2016-10
dc.description.abstractStudents’ Information System (SIS) in Universiti Sultan Zainal Abidin (UniSZA) handles thousands of records on the information of students, subject registration, etc. Efficiency of storage and query retrieval of these records is the matter of database management especially involving with huge data. However, the execution time for storing and retrieving these data are still considerably inefficient due to several factors. In this contribution, two database approaches namely Extensible Markup Language (XML) and JavaScript Object Notation (JSON) were investigated to evaluate their suitability for handling thousands records in SIS. The results showed JSON is the best choice for storage and query speed. These are essential to cope with the characteristics of students’ data. Whilst, XML and JSON technologies are relatively new to date in comparison to the relational database. Indeed, JSON technology demonstrates greater potential to become a key database technology for handling huge data due to an increase of data annually.en_US
dc.identifier.citationVol. 4 (1); 203-214 p.en_US
dc.identifier.issn2502 4760
dc.identifier.urihttp://hdl.handle.net/123456789/5679
dc.language.isoenen_US
dc.publisherIndonesian Journal of Electrical Engineering and Computer Scienceen_US
dc.subjectJSONen_US
dc.subjectQuery Retrievalen_US
dc.subjectRelational Databaseen_US
dc.subjectXMLen_US
dc.titleEfficiency of JSON approach for Data Extraction and Query Retrievalen_US
dc.typeArticleen_US
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