Abstrakti
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.
| Alkuperäiskieli | englanti |
|---|---|
| Otsikko | Proceedings of the 35th Conference of Open Innovations Association (FRUCT) |
| Toimittajat | Sergey Balandin, Jari Nurmi, Nameer Hashim Qasim |
| Sivumäärä | 9 |
| Kustantaja | IEEE Computer Society |
| Julkaisupäivä | 2024 |
| Sivut | 244-252 |
| ISBN (painettu) | 979-8-3503-4947-4 |
| ISBN (elektroninen) | 978-952-65246-1-0 |
| DOI - pysyväislinkit | |
| Tila | Julkaistu - 2024 |
| OKM-julkaisutyyppi | A4 Artikkeli konferenssijulkaisuussa |
| Tapahtuma | 35th Conference of Open Innovations Association FRUCT, FRUCT 2024 - Tampere, Suomi Kesto: 24 huhtik. 2024 → 26 huhtik. 2024 |
Julkaisusarja
| Nimi | Conference of Open Innovation Association, FRUCT |
|---|---|
| ISSN (painettu) | 2305-7254 |
Lisätietoja
Publisher Copyright:© 2024 FRUCT.
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