Combining Relational and Semi-structured Databases for an Inquiry Application
Overview & Synopsis
The popularity of NoSQL databases keeps growing and more companies have been moving away from relational databases to non-relational NoSQL databases. In this paper, the partitioning of a relational data model of an inquiry system into semi-structured and relational data for storage in both SQL and NoSQL databases is shown. Furthermore, the CAP theorem will be applied to categorize the storing of the correct parts of the model into their corresponding databases. As a result of these reorganizations and the introduction of additional histogram data, overall performance improvements of about 93% to 98% are achieved.
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hal.science)
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Document Information
| Document Title | Combining Relational and Semi-structured Databases for an Inquiry Application |
|---|---|
| Author / Organization | Marius Ebel, Martin Hulin |
| Subject & Discipline | Multidisciplinary Academic Open Research |
| Categories | Science & Mathematics |
| Publication Year | 2012 |
| License / Rights | Open Access / Creative Commons |
| Resource Verification | Listed PDF (Verification Pending) |
| Original Host Website |
HAL Open Science
(hal.science)
|
| File Format | application/pdf (Portable Document Format) |
| Language | EN |
| Catalog ID | DOC-172687 |
| Original Source Link | Visit Source Page on hal.science » |