Project: Is SQL sufficient to support visual analytics
Description
Databases often act as the backend for visualization -- to safely store the data, and to aggregate/serve it to the visualization layer efficiently, such that it is shown to the user in a way that helps decision making. This connection between the two layers is typically performed using SQL. This thesis will examine the suitability of this approach -- SQL as a language, but also the technicalities surrounding execution of SQL queries from the visualization layer, e.g., establishing a connection, and executing stateless, one-shot SQL queries. In particular, are there any properties of SQL (and of traditional databases) that a) make the implementation of visual analytics workflows more complex, and, b) disallow the database layer to further optimize its performance? The student will be co-supervised by the Scalable Online Data Management group (O. Papapetrou) and the Visual Analytics group (Stef van den Elzen).
Details
- Supervisor
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Odysseas Papapetrou
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