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Data virtualization is an approach to data management that allows an application to retrieve and manipulate data without requiring technical details about the data, such as how it is formatted at source, or where it is physically located, and can provide a single customer view (or single view of any other entity) of the overall data.
Technology & History
Explore the main themes, entities and connections around Data virtualization. Start with the topic map, then use the sections below for research and deeper semantic analysis.
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data virtualization sources source system systems integration used approach access may software management single also etl multiple citation needed without
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Data virtualization | is a | approach to data management that allows an application to retrieve and manipulate data without requiring technical details about the data | 0.90 | text |
| compatibility problems when combining data from various platforms | instance of | This aids in resolving some technical difficulties | 0.80 | text |
| lowering the risk of error caused by faulty data | instance of | This aids in resolving some technical difficulties | 0.80 | text |
| and guaranteeing that the newest data is used | instance of | This aids in resolving some technical difficulties | 0.80 | text |
| Data virtualization | has application | The | 0.60 | section |
| Data virtualization | has application | This | 0.60 | section |
| Data virtualization | has application | Furthermore | 0.60 | section |
| Data virtualization | has application | As | 0.60 | section |
| Data virtualization | has application | Building | 0.60 | section |
| Data virtualization | has application | Unlike | 0.60 | section |
| Data virtualization | has application | Traditional | 0.60 | section |
| Data virtualization | has application | Data | 0.60 | section |
These clusters group vocabulary that occurs around closely connected concepts in the source material.
Bridges can reveal useful research angles that are easy to miss in a flat list of related terms.