By Brian Larson
Maximize the enterprise Intelligence instruments in Microsoft SQL Server 2008
Manage, learn, and distribute company facts with support from this professional source. Delivering company Intelligence with Microsoft SQL Server 2008 covers the full BI lifecycle and explains the best way to construct powerful info integration, reporting, and research suggestions. Real-world examples illustrate the entire robust BI functions of SQL Server 2008. this is often your one-stop consultant for reworking disparate information into actionable perception for clients all through your organization.
- comprehend the targets and advantages of industrial intelligence
- Design and create relational information marts and OLAP cubes
- Manage research providers databases utilizing BI improvement Studio
- Cleanse facts and populate facts marts with SQL Server Integration Services
- make the most of the pliability of the Unified Dimensional version
- Manipulate and research info utilizing MDX scripts and queries
- Use facts mining to spot information styles, correlations, and clustering
- Develop and distribute interactive studies with SQL Server 2008 Reporting Services
- Integrate enterprise intelligence into firm functions utilizing ADOMD.NET and the record Viewer Control
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In some cases, these decision makers require data that is no more than one day old, one hour old, or even less. Maximum Miniatures, Inc. Throughout the remainder of this book, Maximum Miniatures, Incorporated serves as the basis for all of our examples. , as it is referred to by most employees, manufactures and sells small, hand-painted figurines. It has several product lines, including the Woodland Creatures collection of North American animals; the Mythic World collection, which includes dragons, trolls, and elves; the Warriors of Yore collection, containing various soldiers from Roman times up through World War II; and the Guiding Lights collection, featuring replica lighthouses from the United States.
Definition The latency of business intelligence is the amount of time between the occurrence of a transaction and the loading of that transaction’s information into the business intelligence system. C h a p t e r 2 : M a k i n g t h e M o s t o f W h a t Yo u ’ v e G o t Mid-Level Mid-level decision makers are managing the operation of departments and other working units within the organization. They are setting short-term goals and doing the planning for the functioning of these areas. Mid-level decision makers are still at a level where they should not be in the details of day-to-day processes.
This means, then, the fact table will have one row (and one set of measures) for each unique combination of members at the lowest level of all the hierarchies. C h a p t e r 3 : S e e k i n g t h e S o u r c e — T h e S o u r c e o f B u s i n e s s I n t e l l i g e n c e DimYear YearID YearDescription QuarterID QuarterDescription MonthID MonthDescription DimSalesRegion DimProductType ProductTypeID ProductTypeDescription ProductSubtypeID ProductSubtypeDescription ProductID ProductDescription DimMarketingCampaign MarketingCampaignID MarketingCampaignDescription AmountSpentOnCampaign PrintAdPurchased Figure 3-4 SalesFact MonthID ProductID SalesTerritoryID MarketingCampaignID BuyersAgeGroupID Total Sales SalesRegionID SalesRegionDescription RegionManagerFirstName RegionManagerLastName SalesTerritoryID SalesTerritoryDescription SalespersonFirstName SalespersonLastName DimBuyersAgeGroup BuyersAgeGroupID BuyersAgeGroupDescription A star schema with hierarchies Measures for hierarchy levels above the lowest level are not stored in the data mart.