By Teo Lachev
Applied Micrisoft research prone 2005 exhibits database directors and builders the right way to construct whole OLAP ideas with Microsoft research prone 2005 and Microsoft enterprise Intelligence Platform. Database directors will the right way to layout and deal with refined OLAP cubes that supply wealthy facts analytics and knowledge mining services.
The publication 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 quite a lot of reporting purposes that combine with research providers, Reporting providers, and Microsoft Office.
This ebook does not imagine any previous event with OLAP and Microsoft research companies. it truly is designed as an easy-to-follow consultant the place every one bankruptcy builds upon the former to enforce the elements of the cutting edge Unified Dimensional version (UDM) in a chronological order. New options are brought with step by step directions and hands-on demos.
o layout subtle UDM models
o construct ETL approaches with SSIS
o enforce info mining tasks
o improve UDM programmatically with MDX
o expand UDM with SSAS saved procedures
o Create wealthy end-user model
o Optimize research prone garage and processing
o enforce dynamic security
o construct customized OLAP clients
o writer ordinary and ad-hoc experiences with SSRS
o construct Office-based BI functions and dashboards
o and masses more
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Additional info for Applied Microsoft Analysis Services 2005: And Microsoft Business Intelligence Platform
With the “classic” dimensional model it has been traditionally difficult to join two fact tables that summarize data at different levels (called grain in the OLAP terminology). For example, the grain of the time dimension in your cube may be days. At the same time, you may also have a INTRODUCING MICROSOFT ANALYSIS SERVICES 2005 17 sales quota fact table which stores the sales person quotas at a quarter level. Suppose that your requirements call for joining both tables to compare the sales person’s performance and her quota side-by-side.
Calculations – The Formula Engine handles MDX queries and expressions. • Data mining – The Data Mining Engine processes mining queries and returns prediction results. EXE written in C++ native code. 2. g. 2000 and 2005) can co-exist side-by-side. Perhaps the most interesting SSAS architectural change is that it embraces XML for Analysis (XMLA) as a native protocol. In fact, you cannot communicate with SSAS in any other way than using XMLA. Given the strategic importance of XMLA, let’s spend some time introducing this protocol.
However, SSAS 2005 cubes can and usually have more than three dimensions. In fact, SSAS 2005 cubes support more dimensions than you will ever need (in the range of billions). Since many of the cube limitations in the past have been removed, an SSAS 2005 cube could really be viewed as a “super-cube”. In fact, you are encouraged to build your entire OLAP layer on top of an enterprise-wide data warehouse with a single SSAS 2005 cube. Cube storage From a user perspective, a cube appears to store all fact rows and have aggregated values for each cell.
Applied Microsoft Analysis Services 2005: And Microsoft Business Intelligence Platform by Teo Lachev