An Evaluation Framework for Validating the Quality of a Data Vault 2.0 Data Model
| Autor: | Heli Helskyaho, Marko Helskyaho, Laura Ruotsalainen, Tomi Männistö |
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| Jazyk: | angličtina |
| Rok vydání: | 2024 |
| Předmět: | |
| Zdroj: | Proceedings of the XXth Conference of Open Innovations Association FRUCT, Vol 35, Iss 1, Pp 252-https://youtu.be/sBCyP3-6veA (2024) |
| Druh dokumentu: | article |
| ISSN: | 2305-7254 2343-0737 |
| DOI: | 10.23919/FRUCT61870.2024.10516384 |
| Popis: | Designing databases is essential to provide businesses with high-quality data for effective and correct decision-making. Data warehouses, such as Data Vault 2.0, are important storages for the data and therefore designing the data warehouse is important. The process of database designing is usually time-consuming and requires the expertise of data modeling professionals. Automating the process requires metrics to evaluate the quality of a data model. We used the newly created metrics for a Data Vault 2.0 data model and automated the evaluation process. We created a framework for the evaluation and revealed it as an application for the evaluation process to facilitate efficient and effective database design evaluations. |
| Databáze: | Directory of Open Access Journals |
| Externí odkaz: |
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