By Teo Lachev
Applied Micrisoft research providers 2005 exhibits database directors and builders the best way to construct whole OLAP ideas with Microsoft research providers 2005 and Microsoft enterprise Intelligence Platform. Database directors will find out how to layout and deal with subtle OLAP cubes that supply wealthy information analytics and information mining services.
The booklet offers builders the mandatory history to increase UDM with customized programming good judgment, within the type of MDX expressions, scripts and .NET code. It teaches them how one can enforce a variety of reporting functions that combine with research companies, Reporting companies, and Microsoft Office.
This ebook does not think any earlier adventure with OLAP and Microsoft research prone. it truly is designed as an easy-to-follow advisor the place every one bankruptcy builds upon the former to enforce the parts of the cutting edge Unified Dimensional version (UDM) in a chronological order. New strategies are brought with step by step directions and hands-on demos.
o layout refined UDM models
o construct ETL techniques with SSIS
o enforce information mining tasks
o increase UDM programmatically with MDX
o expand UDM with SSAS saved procedures
o Create wealthy end-user model
o Optimize research companies garage and processing
o enforce dynamic security
o construct customized OLAP clients
o writer regular and ad-hoc stories with SSRS
o construct Office-based BI purposes and dashboards
o and lots more and plenty more
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Additional resources for Applied Microsoft Analysis Services 2005: And Microsoft Business Intelligence Platform
INTRODUCING MICROSOFT ANALYSIS SERVICES 2005 15 Dimensional model challenges By now, you are probably convinced that the dimensional model has many advantages over its counterpart, the relational model. It is the cornerstone of the OLAP technology and it is very popular today. At the same time, the dimensional model is not without its shortcomings. Let’s mention a couple of them. Data fidelity lost While dimensions reflect the natural way end-users prefer to analyze data, important dimension characteristics could be lost when transforming OLTP data to fit into the “classic” dimensional model.
Feel free to experiment with the Excel PivotTable report. For example, doubleclick on any member of the Product Categories dimension to drill down sales data to the product subcategory and product name levels. Drag and drop other dimensions and measures. Once the cube is designed and deployed, there are many ways to build interactive reports that provide the needed level of business intelligence. 6 Summary This chapter has been a whirlwind tour of the SSAS 2005 and OLAP technology. By now, you should view SSAS 2005 as a sophisticated server-based platform that provides OLAP and data mining services.
Select the Adventure Works DW database and click Finish. You are now taken back to the Create New Data Source dialog. 7. 24) and select the Adventure Works cube. Click OK to close the Create New Data Source dialog and OK to close the Choose Data Source dialog. You are back to the PivotTable and PivotChart Wizard. Click Next to advance to Step 3. 8. Accept the defaults in Step 3 and click Finish. 9. A blank pivot report appears in the Excel spreadsheet. A PivotTable Field List pane contains all measures and dimensions defined in the Adventure Works cube.