Abstract
New types of database have emerged over the last decade, aimed at answering new requirements in the Big Data era. The new databases, in additional to the Relational model, may fit to specific types of applications. Therefore, new challenges have also emerged, including the issue of which database model to select for a given application, and how to design the database based on the selected model. To the best of our knowledge, these two challenges have not been addressed by any systematic method. In this research we plan to devise a structured method for database model selection and design based on variety of factors, including data-related requirements, functional requirements, and non-functional requirements. Based on these requirements the method will recommend which database models are the most appropriate for that application and will suggest a design for the recommended models.
| Original language | English |
|---|---|
| Pages (from-to) | 69-77 |
| Number of pages | 9 |
| Journal | CEUR Workshop Proceedings |
| Volume | 2370 |
| State | Published - 1 Jan 2019 |
| Event | Doctoral Consortium Papers Presented at the 31st International Conference on Advanced Information Systems Engineering, CAiSE-DC 2019 - Rome, Italy Duration: 3 Jun 2019 → 7 Jun 2019 |
Keywords
- Database design
- Database models
- Database selection
- NoSQL
ASJC Scopus subject areas
- General Computer Science