A Method for Database Model Selection
| Autor: | Peretz Shoval, Noa Roy-Hubara, Arnon Sturm |
|---|---|
| Rok vydání: | 2019 |
| Předmět: | |
| Zdroj: | Enterprise, Business-Process and Information Systems Modeling ISBN: 9783030206178 BPMDS/EMMSAD@CAiSE |
| DOI: | 10.1007/978-3-030-20618-5_18 |
| Popis: | In the last decade, new types of database models emerged, most notably the NoSQL database models. Within this family of databases there are specific models, such as Document-based, Graph-based and more, each of which, in additional to the Relational model, may fit to specific types of applications. Hence, the issue of which database model to select for a given application becomes important. Nowadays, to the best of our knowledge, the selection of a database model is not based on systematic methods that consider the specific requirements and characteristics of the sought application. In this paper we propose a structured method for database model selection. The method considers a variety of factors, including data-related requirements, functional requirements and non-functional requirements. Based on these factors the method proposes the most appropriate database models for that application. We demonstrate the method through a running example. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|