• Title/Summary/Keyword: 눈송이 스키마

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A Design and Practical Use of Spatial Data Warehouse for Spatiall Decision Making (공간적 의사결정을 위한 공간 데이터 웨어하우스 설계 및 활용)

  • Park Ji-Man;Hwang Chul-sue
    • Spatial Information Research
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    • v.13 no.3 s.34
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    • pp.239-252
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    • 2005
  • The major reason that spatial data warehousing has attracted a great deal of attention in business GIS in recent years is due to the wide availability of huge amount of spatial data and the imminent need for fuming such data into useful geographic information. Therefore, this research has been focused on designing and implementing the pilot tested system for spatial decision making. The purpose of the system is to predict targeted marketing area by discriminating the customers by using both transaction quantity and the number of customer using credit card in department store. Moreover, the pilot tested system of this research provides OLAP tools for interactive analysis of multidimensional data of geographically various granularities, which facilitate effective spatial data mining. focused on the analysis methodology, the case study is aiming to use GIS and clustering for knowledge discovery. Especially, the importance of this study is in the use of snowflake schema model capabilities for GIS framework.

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Design and Implementation of Multidimensional Data Model for OLAP Based on Object-Relational DBMS (OLAP을 위한 객체-관계 DBMS 기반 다차원 데이터 모델의 설계 및 구현)

  • 김은영;용환승
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.25 no.6A
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    • pp.870-884
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    • 2000
  • Among OLAP(On-Line Analytical Processing) approaches, ROLAP(Relational OLAP) based on the star, snowflake schema which offer the multidimensional analytical method has performance problem and MOLAP (Multidimensional OLAP) based on Multidimensional Database System has scalability problem. In this paper, to solve the limitaions of previous approaches, design and implementation of multidimensional data model based on Object-Relation DBMS was proposed. With the extensibility of Object-Relation DBMS, it is possible to advent multidimensional data model which more expressively define multidimensional concept and analysis functions that are optimized for the defined multidimensional data model. In addition, through the hierarchy between data objects supported by Object-Relation DBMS, the aggregated data model which is inherited from the super-table, multidimensional data model, was designed. One these data models and functions are defined, they behave just like a built-in function, w th the full performance characteristics of Object-Relation DBMS engine.

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