Growth of relational model: interdependence and complementary to big data

Sucharitha Shetty, B. Dinesh Rao, Srikanth Prabhu

Abstract


A database management system is a constant application of science that provides a platform for the creation, movement, and use of voluminous data. The area has wit- nessed a series of developments and technological advancements from its conventional structured database to the recent buzzword, Big-data. This paper aims to provide a complete model of a relational database that is still being widely used because of its well-known ACID properties namely, Atomicity, Consistency, Integrity and Durabil-ity. Specifically, the objective of this paper is to highlight the adoption of relational model approaches by Big-Data techniques. Towards addressing the reason for this in- corporation, this paper qualitatively studied the advancements done over a while on the relational data model. First, the variations in the data storage layout are illustrated based on the needs of the application. Second, quick data retrieval techniques like indexing, query processing and concurrency control methods are revealed. The paper provides vital insights to appraise the efficiency of the structured database in the un- structured environment, particularly when both consistency and scalability become an issue in the working of the hybrid transactional and analytical database management system.

Keywords


big data; hybrid transaction/analytical processing (HTAP); online analytical processing (OLAP); online transactional processing (OLTP);



DOI: http://doi.org/10.11591/ijece.v11i2.pp%25p
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ISSN 2088-8708, e-ISSN 2722-2578