Applying OLAP Pre-Aggregation Techniques to Speed Up Query Processing in Raster-Image Databases

Aggregate functions are particularly useful when dealing with extremely large volumes of data. In business and statistical databases, aggregate queries have been leveraged by powerful methods such as On-Line Analytical Processing (OLAP). In contrast, current technology for raster image databases is lagging behind. A comparative study between raster image and business databases has shown similarities in their data structures and operations. This doctoral project investigates the application of OLAP pre-aggregation technology to speed up aggregate queries in raster-image databases.