BI All the way Part II - Analysis Services Gal Gubesi CEO, Microsoft Regional Director for BI

Microsoft Business Intelligence

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

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

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

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)

UDM - Role of the Data Source View

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

Dimensions Regular Customer Sales

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

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

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

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

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

Analysis Services Proactive caching UDM MDX SQL RDBMS User Cache SQL

Analysis Services Proactive caching UDM MDX SQL RDBMS User Cache SQL

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

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

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

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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Gal Gubesi CEO, Microsoft Regional Director for BI