A Common Meta-Model for Data Analysis Based on DSM

Download Now Free registration required

Executive Summary

Problems are often created by advanced support systems because they are not only highly expensive but also difficult to implement. In such a case, small and medium scale businesses are often unable to afford the systems. Therefore this paper is dedicated to solving the problem of data collection and analysis task by creating a Domain Specific Modeling (DSM) which is based on a top-down approach. For this purpose they make use of Domain Specific Language (DSL) which is a group of specific languages that have a special purpose. With the help of DSL it is possible to make a large problem look small and makes the rendering of several web pages an easy task. It also specifies a technique that helps in identifying a particular problem and creates a series of patterns so that there is relationship among the different expressions in the language. The paper accounts a research conducted by R&D Division Health Escherweg 2 Oldenburg, Germany to implement this specialized analytic information systems. They developed a special platform which goes by the name of Multidimensional Statistical Data Analysis Engine (MUSTANG) and the research was conducted on a data warehouse. The division also went forward and used this new top-down approach in a step by step manner to extend the MUSTANG platform to accommodate data analysis on the DSM basis. The result was a cost efficient platform that required minimum of manual programming. The DSM made it easy to extend MUSTANG and data integration made possible in that single meta-model.

  • Format: PDF
  • Size: 242.2 KB