Download Applied Microsoft Analysis Services 2005: And Microsoft by Teo Lachev PDF
By Teo Lachev
Applied Micrisoft research providers 2005 indicates database directors and builders how one can construct entire OLAP suggestions with Microsoft research companies 2005 and Microsoft company Intelligence Platform. Database directors will easy methods to layout and deal with refined OLAP cubes that supply wealthy information analytics and information mining services.
The ebook provides 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 tips on how to enforce a variety of reporting functions that combine with research providers, Reporting providers, and Microsoft Office.
This booklet does not imagine any previous event with OLAP and Microsoft research providers. it truly is designed as an easy-to-follow consultant the place each one bankruptcy builds upon the former to enforce the elements of the cutting edge Unified Dimensional version (UDM) in a chronological order. New suggestions are brought with step by step directions and hands-on demos.
o layout refined UDM models
o construct ETL methods with SSIS
o enforce facts mining tasks
o increase UDM programmatically with MDX
o expand UDM with SSAS saved procedures
o Create wealthy end-user model
o Optimize research providers garage and processing
o enforce dynamic security
o construct customized OLAP clients
o writer general and ad-hoc studies with SSRS
o construct Office-based BI functions and dashboards
o and masses more
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Additional resources for Applied Microsoft Analysis Services 2005: And Microsoft Business Intelligence Platform
2 Data Sources Since the focus of this chapter is working with data, I will focus here only on two UDM objects - data sources and data source views. 1 shows how these objects fit in the UDM data architecture. For the sake of simplicity, in this chapter, I won’t discuss how data mining objects work with data sources (this is covered in chapters 7 and 8). 1 One SSAS database may contain one or more cubes. One cube has only one data source view associated with it. A data source view may draw data from more than one data source.
However, the original Product relational schema may have included columns for product color, size, model, etc. With the classic dimensional model these attributes could be simply “lost” when the Product dimension hierarchy is created or require additional dimensions to be implemented. The end result is that the user may not be able browse or filter data using these attributes. 11 The SSAS 2005 Unified Dimensional Model solves some of today’s BI challenges by uniting the relational and dimensional models.
13. In this case, I have specified that the time dimension will join the fact table at Calendar Quarter level. It can’t be easier, really! 13 With SSAS 2005 you can easily join dimension and fact tables at different grains. Low latency The business requirements of today’s economics mandate ever-shrinking time windows to make data available for reporting and analysis. UDM makes real-time OLAP and building low latency OLAP applications a possibility. There are two techniques to accomplish this. The first technique involves pushing the data directly into the cube (push-mode processing) without updating the underlying data source.