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Relational Databases in e-Commerce
Of the many uses of relational databases throughout enterprise software their use for supporting e-commerce initiatives and programs provides a foundation for assessing their performance at diverse data and taxonomy management, and scalability of transactions as well. The scalability, security and speed of relational databases when used for e-commerce tasks push them to the limits of performance and customization as well. An example of this is the widespread use of relational databases in creating and sustaining distributed order management systems (Connolly, Begg, 2006).
As e-commerce sites including Amazon.com, Apple, Dell, Expedia and others all rely on a series of catalogs that are unified through a common series of taxonomies. These catalogs and their taxonomies they are part of define how the logic and workflows of the distributed order management...
Relational databases, many of them integrated to at the logical records level, are used for ensuring the product catalog taxonomies are well-defined and provide the necessary data for both populating web pages in addition to supporting transactions.
Current trends in the use of relational databases within e-commerce include creating entire websites of product entries based on the content in relational tables in addition to customized pricing by the role of persona of the buyer visiting the site (Seng, 2003). E-Commerce websites today are concentrating on creating price optimization tables and tailoring specific product and service bundles to meet the specific pricing elasticity barriers of each customer shopping on the site (Connolly, Begg, 2006). Advanced companies in pricing execution and optimization are making this happen through the use of pricing…
References
Thomas M. Connolly, & Carolyn E. Begg. (2006). A Constructivist-Based Approach to Teaching Database Analysis and Design. Journal of Information Systems Education, 17(1), 43-53.
Jia-Lang Seng. (2003). A study on industry and synthetic standard benchmarks in relational and object databases. Industrial Management + Data Systems, 103(7), 516-532.
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