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Building Your First Cube
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In this procedure, you ll learn how to browse cube data. Browse a cube 1. Click the Browser tab. The Cube Browser looks like this:
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2. Drag the Measures object from the cube metadata tree on the left side of your screen to the area of the grid labeled Drop Totals Or Detail Fields Here. The Sales Dollars and Sales Units values in the grid represent the grand total of these two measures in the cube. These values are the equivalent of using the Sum function with each measure column in the fact table to derive a grand total value. You can drag measures one by one to the grid if you expand the Measures object in the cube metadata tree. Or you can drag the Measures object to the grid to add all measures at once to the grid. 3. Expand Product in the cube metadata tree, and then drag the Product attribute to the area of the grid labeled Drop Row Fields Here. This placement of the Product attribute in the grid is also known as placing Product on the rows axis. 4. In the cube metadata tree, expand Date, and then drag the Year Quarter Month Date hierarchy to the area of the grid labeled Drop Column Fields Here. This step is also known as placing the selected hierarchy on the columns axis. 5. Click the plus sign next to Calendar 2002 to view the measure by quarter in 2002.
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Part I:
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Getting Started with Analysis Services
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Your screen looks like this:
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6. On the File menu, click Close Project. Congratulations! You have successfully created and browsed your first cube. You will learn more about browsing a cube in later chapters of this book. Using the Cube Wizard and the template provided with Analysis Services, you are able to design a cube independently of an existing data source. The cubes and dimensions you create by using this wizard, however, might not be precisely what you need. You can make any desired changes to the cube structure or dimension structures by deleting objects or changing properties. Once you ve made these changes, you can then use the Schema Generation Wizard and SQL Server Import and Export Wizard to generate tables and load data into these tables in preparation for processing your cube.
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3 Quick Reference
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To Start a new Analysis Services Project Do this Start a new project in Business Intelligence Development Studio (Visual Studio) and select Analysis Services Project from the Business Intelligence Projects folder. Provide a name for the project and solution, and designate a folder location for the solution. In Solution Explorer, right-click the Cubes folder, click New Cube, select a template, and then choose measures and dimensions from the template to include in the cube.
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Build a cube without a data source by using a template
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3:
Building Your First Cube
Do this
Generate a relational schema Create an empty database in Microsoft SQL Server Management Studio; based on a cube that was creat- launch the Schema Generation Wizard in Visual Studio by choosing this oped without a data source tion on the final page of the Cube Wizard, by clicking the link in the Diagram pane of the Cube Structure tab within the Cube Designer, or by clicking Generate Relational Schema from the Database menu; and then, in the wizard, specify a target database and select database schema options. Deploy and process a cube Browse a cube In Solution Explorer, right-click the Analysis Services project that contains the cube, and then click Deploy. In Solution Explorer, double-click the .cube file in the Cubes folder to open the Cube Designer, and then click the Browser tab.
Part II
Design Fundamentals
In this part: 4: Designing Dimensions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .63 5: Designing Measure Groups and Measures . . . . . . . . . . . . . . . .99 6: Working with a Finance Measure Group . . . . . . . . . . . . . . . . .129 7: Designing Aggregations and Hierarchies . . . . . . . . . . . . . . . .149
In Part I, Getting Started with Analysis Services, you learned about the purpose of business intelligence (BI), the structures used in data warehousing, and the value of an online analytical processing (OLAP) solution. You were also introduced to the role of the Unified Dimensional Model (UDM) in Analysis Services and built your first cube by using a template in a top-down approach. Throughout the chapters of Part II, you ll build a more complex cube based on tables in a data warehouse. You ll learn design fundamentals and then apply what you learn by creating Analysis Services objects attributes, dimensions, measure groups, aggregations, and hierarchies to construct a cube using a bottom-up approach. Later, in Part III, Advanced Design, you ll work with advanced design techniques to enhance your cube with greater functionality.
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