Please use this identifier to cite or link to this item: http://10.1.7.192:80/jspui/handle/123456789/11888
Title: Data Modeling Practices for E-Commerce
Authors: Patel, Drushti
Keywords: Computer 2021
Project Report 2021
Computer Project Report
Project Report
21MCE
21MCED
21MCED06
CE (DS)
DS 2021
Issue Date: 1-Jun-2023
Publisher: Institute of Technology
Series/Report no.: 21MCED06;
Abstract: In modern times, large amounts of data with diverse characteristics, such as volume, variety, etc., are generated daily. For enterprises such as E-commerce, which is escalating nowadays, massive amounts of unstructured data have increased significantly, making it essential to manage high data availability and consistency in conventional databases. To establish extreme data availability and consistency, opting for the most effective data model is necessary to ensure that data accuracy and consistency are gained and can be easily accessed and manipulated by the intended users. The development of data modeling approaches has made it possible to use massive quantities of data without demeaning performance or loosening the conventional ACID properties. This paper emphasizes the importance of efficient data modeling. It provides practical guidelines considering the type of data access patterns required for implementing relational and document-oriented NoSQL databases, highlighting their advantages and limitations in terms of e-commerce enterprises.
URI: http://10.1.7.192:80/jspui/handle/123456789/11888
Appears in Collections:Dissertation, CE (DS)

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