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Deepak Mehta,Lovely Professional University                             Unit 6: Business Intelligence Project





                         Unit 6: Business Intelligence Project                                  Notes


             CONTENTS
             Objectives
             Introduction
             6.1  Creating Data Source
             6.2  Creating a Data Source View

             6.3  Modifying the Data View
             6.4  Creating Dimensions, Time and Modifying Dimensions
                 6.4.1   Creating Dimensions
                 6.4.2   Time Dimension
                 6.4.3   Modifying the Date Dimension
             6.5  Parent-Child Dimensions
             6.6  Summary

             6.7  Keywords
             6.8  Review Questions
             6.9  Further Readings

          Objectives

          After studying this unit, you will be able to:
               Discuss Creating Data Source
               Explain Creating the Data Source View

               State the Modifying of the Data View
               Summarize Creating Dimensions, Time and Modifying Dimensions
               Define the Parent-child Dimension

          Introduction

          Too many times, Business Intelligence (BI) and Data Warehousing project managers are not
          equipped well to handle their role in guiding a project to success. Often, the person allotted to
          lead a project is either: (1) a technician who doesn’t know the first thing about managing a
          project, or (2) a project manager who doesn’t know the first thing about Business Intelligence.
          Purpose of BI is making the most of an organization’s data assets. By making better data-driven
          decisions through BI, companies can gain advantages like increasing revenue, reducing costs, or
          reducing risks. This Unit focus on discussion of data source and data source view. Also, working
          with dimension is explained in the unit. Finally, you will learn about parent-child dimension.

          6.1 Creating Data Source


          In an Analysis Services multidimensional model, a data source object represents a connection to
          the data source from which you are importing data. A multidimensional model must contain at
          least one data source object, but you can add more to combine data from several data warehouses.



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