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Unit 10: Multi-dimensional Data Models and Aggregation
          Sartaj Singh, Lovely Professional University



           unit 10: Multi-dimensional Data Models and aggregation                               notes




             contents
             Objectives
             Introduction
             10.1  Multi-dimensional View of Information
             10.2  The Logical Model for Multi-dimensional Information
             10.3  Relational Implementation of the Model

                 10.3.1  Star Schema
                 10.3.2  Snowflake Schema
             10.4  ROLAP Model
             10.5  MOLAP Model
             10.6  Conceptual Models for Multi-dimensional Information

             10.7  Summary
             10.8  Keywords
             10.9  Self Assessment
             10.10  Review Questions

             10.11  Further Readings


          objectives


          After studying this unit, you will be able to:
          l z  Explain multi-dimensional view of information
          l z  Describe ROLAP data model
          l z  Describe MOLAP data model

          l z  Describe logical and conceptual model for multi-dimensional information
          introduction


          Metadata is used throughout Oracle OLAP to define a logical multidimensional model:
          1.   To describe the source data as multidimensional objects for use by the analytic workspace
               build tools.
          2.   To  identify  the  components  of  logical  objects  in  an  analytic  workspace  for  use  by  the
               refresh, aggregation, and enablement tools.
          3.   To describe relational views of analytic workspaces as multidimensional objects for use by
               OLAP applications.








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