Applying OLAP Pre-Aggregation Techniques to Speed Up Query Response Times in Raster Image Databases.
Angélica García Gutiérrez · 2007
Abstract. Aggregate functions are particularly useful when dealing with ex-tremely large volumes of data. In business and statistical databases, aggre-gate 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 im-age 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. 1