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) |
Files in This Item:
File | Description | Size | Format | |
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21MCED06.pdf | 21MCED06 | 868.06 kB | Adobe PDF | ![]() View/Open |
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