MS SQL Server Analysis Services 2008 and Enterprise Data Warehousing
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This document discusses business intelligence integration services including SQL Server, data mining, and Analysis Services. It provides an overview of key concepts for building an OLAP cube in Analysis Services such as data sources, data source views, dimensions, hierarchies, and processing cubes. The document also mentions additional cube objects like calculations, KPIs, actions, and perspectives.
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MS SQL Server Analysis Services 2008 and Enterprise Data Warehousing
- 1. ANALYSIS SERVICES ANALYSIS SERVICES ANALYSIS SERVICES ANALYSIS SERVICES ANALYSIS SERVICES ANALYSIS SERVICES ANALYSIS SERVICES ANALYSIS SERVICES ANALYSIS SERVICES ANALYSIS SERVICESSQL SERVER SQL SERVER SQL SERVER SQL SERVER DATA MINING DATA MINING DATA MINING DATA MINING DATA MINING DATA MINING DATA MINING DATA MININGINTEGRATION SERVICES INTEGRATION SERVICES INTEGRATION SERVICES INTEGRATION SERVICES INTEGRATION SERVICES INTEGRATION SERVICES SSAS R2 and SharePoint 2010 – Business IntelligenceINTEGRATION SERVICES INTEGRATION SERVICES INTEGRATION SERVICES INTEGRATION SERVICES INTEGRATION SERVICES INTEGRATION SERVICES ANALYSIS SERVICES ANALYSIS SERVICES ANALYSIS SERVICES ANALYSIS SERVICES ANALYSIS SERVICES ANALYSIS SERVICES ANALYSIS SERVICES ANALYSIS SERVICES ANALYSIS SERVICES ANALYSIS SERVICESSQL SERVER SQL SERVER SQL SERVER SQL SERVERDATA MINING DATA MINING DATA MINING DATA MINING DATA MINING DATA MINING DATA MINING DATA MINING
- 2. Agenda
- 3. About MeSlava KokaevGroup Leader at Boston Business Intelligence User GroupPrincipal BI Developer/ Architect at Industrial [email protected]/blog.aspx
- 4. Understandinga BI SystemSource SystemETL SystemDW SystemDA System
- 5. Where are we ?Data WarehouseETL SystemSource SystemClientsTools
- 6. Logical Cube Representation116499518931455194513769451553187412451576445147918741245295415751479157630071575232229541383300724553007Accessories1654Australia645136521456459882012Product Line2012CountryUnited States845Mountain7457002751082234905Canada905345RoadQuarter 1761875Quarter 2745745FranceTouringSemester 1Quarter 3ResellerQuarter 4Semester 2Calendar Year - 2009InternetChannel
- 7. Cube CellCell positions in the cube are defined by the intersection of dimension members, and the measure values are aggregated to provide the values in the cells.
- 8. Interacting With Analysis ServicesThere are three ways to interact with Analysis Services: SQL Server Management Studio, Business Intelligence (BI) Development Studio in project mode, and BI Development Studio in directly connected mode. SSMSBIDS DCMBIDS
- 9. Understanding Cube Representation SSAS Database in SSMS SSAS Project in BIDSSSAS Multidimensional StructureSSAS CubeMetadata
- 10. Building Analysis Services OLAP Database
- 11. Data Sources Data sources are the starting point for your modeling activity within Analysis Services. Data WarehouseData SourceOLEDB Oracle Provider
- 12. Data source viewsThe data source view is an abstraction layer that is used to extend the objects (relational tables and views) that are exposed by the data source to a collection of objects from which Analysis Services objects are created.
- 13. Data source viewsData Source ViewSource DBData SourcesSQL Server ProviderSource DBOLEDB Oracle Provider
- 14. Data source viewsData Source ViewSource DBData SourcesSQL Server ProviderSource DBOLEDB Oracle Provider
- 15. Designing Cube A cube is a multidimensional structure that contains dimensions and measures. Dimensions define the structure of the cube, while measures provide the numerical values of interest to the end user. Cell positions in the cube are defined by the intersection of dimension members, and the measure values are aggregated to provide the values in the cells.
- 16. Data source viewsCubeData Source ViewSource DBData SourcesSQL Server ProviderSource DBOLEDB Oracle Provider
- 17. Designing DimensionsDimensions are a structural attribute of cubes. They are organized hierarchies of categories and (levels) that describe data in the fact table. These categories and levels describe similar sets of members upon which the user wants to base an analysis.Dimensions can also be based on OLAP data mining models. They can be used to store the results of a mining model analysis and can be browsed within the context of a virtual cube.
- 18. Designing DimensionsDataSourceViewDatabaseDimensionDimensionHierarchyCubeDimensionDatabase Table
- 19. HierarchiesSQL Server Analysis Services lets you create user-defined hierarchies.A hierarchy is a collection of levels based on attributes. For example, a time hierarchy might contain the Year, Quarter, Month, Week, and Day levels. In some hierarchies, each member attribute uniquely implies the member attribute above it.
- 20. HierarchiesA hierarchy is a collection of logically structured levels based on attributes. In some hierarchies, each member attribute uniquely implies the member attribute above it.
- 21. Deploying and Processing CubeAfter making structural changes to a cube, you must process the cube before attempting to browse its data. When you process a cube, the aggregations designed for the cube are calculated and the cube is loaded with the calculated aggregations and data. Processing a cube involves reading the dimension tables to populate the levels with members from the actual data, reading the fact table, calculating specified aggregations, and storing the results in the cube. After a cube is processed, users can query it.
- 22. Cube objectsBesides the dimension usage, measure groups, and partitions, the cube has other objects in it. CalculationsA calculation is a Multidimensional Expressions (MDX) expression or script that is used to define a calculated member, a named set, or a scoped assignment in a cube Key Performance IndicatorsActionsAction is a client command that is defined and stored on the serverPerspectivesA perspective is a read-only view of the cubeTranslations, Custom assemblies, user-defined functions, and MDX scripts
- 23. ResourcesSQL Server 2008 Books Online,msdn2.microsoft.com/en-us/library/bb543165(sql.100).aspxThe Microsoft Data Warehouse Toolkit by Joy Mundy, Warren Thornthwaite, and Ralph KimballThe Data Warehouse Lifecycle Toolkit by Ralph Kimball, et al.