1. BI All the way Part II - Analysis Services Gal Gubesi CEO, Microsoft Regional Director for BI gal@prognosys.com

2. Microsoft Business Intelligence

4. Perspectives Real-time with Proactive Caching Key Performance Indicators Dimensions Unified Dimensional Model Agenda Translations Closure

5. The UDM acts as a bridge between the users and their data Combines the best of traditional OLAP: Performance Rich calculations End-user model With the best of traditional Relational based reporting Real time & Detail level data Complex schema Simplified management UDM UDM - Unified Dimensional Model

6. Scope(Customer.Country.USA, *); Sales = 2; End Scope; UDM UDM Basic Dimensional Model End-user model Storage/Caching Policies Calculations Data Source View Customer ID (PK) Name Age Order Order# (PK) CustomerID DueDate

7. UDM - Role of the Data Source View Relational schema on which the cubes and dimensions are built Allows schema to be annotated Relationships Primary Keys Named Calculations Named Queries Presents a unified view of the underlying data source(s)

8. UDM - Role of the Data Source View

9. DSV UDM - Multiple Data Sources DSV can contain tables drawn from multiple heterogeneous data source ‘Primary’ data source must be SQL Server AS will issue OPENROWSET queries Quota CustomerID Quantity Customer ID Name Quota CustomerID QuantityCustomerIDName

10. Dimensions Regular Customer Sales

11. Dimensions Implemented in storage engine Dimensions stored once, but used multiple times in different roles Conserves disk, reduces processing times Purchased From Regular Role Playing Customer Sales Sold To

12. Dimensions Complex analytics when dimensions not directly related to fact table Facts roll up as “Distinct Sum” Expands the application of the dimension model beyond the star schema Regular Role Playing Many-to-Many Customer Trans. Account Customer / Account

13. KPIs Stands for “ Key Performance Indicators ” Calculate Value, Goal, Status, Trend, Weight, Gauge Accessible from client application Icons can be modified

14. KPIs Create KPI’s instantly Images transmitted using Binary XML BSM Integrated

15. Proactive Caching New data, New dimension members Changing Data How often, When? Triggering, Timing Show old data? Stall? Routing Auto process Processing Proactive caching

16. Analysis Services Proactive caching UDM MDX SQL RDBMS User Cache SQL

17. Analysis Services Proactive caching UDM MDX SQL RDBMS User Cache SQL

18. Analysis Services Proactive caching UDM MDX SQL RDBMS User Cache SQL Data updated Cache

19. Perspectives Cubes can be complex for users to explore Use perspectives to reduce complexity Information reflects analytical needs Not a security mechanism

20. Translations SSAS is multi-lingual using translations Multi-lingual for data & meta-data. For example: Product dimension name Product name itself Measure name Etc.

21. Closure Better flexibility Shorter development cycle BI for everyone… … analysis services is just part of it … analysis services is just part of it

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23. Gal Gubesi CEO, Microsoft Regional Director for BI gal@prognosys.com