Introduction to SQL Server 2005 Analysis Services Melville Thomson IT Pro Evangelist

New features of Analysis Services Unified Dimensional Model (UDM) Using Analysis Services What Will We Cover?

Experience with SQL Server Familiarity with database analytics Familiarity with database reports Helpful Experience

Introducing Analysis Services Providing Intelligent Data Agenda

SQL Server Business Intelligence Data acquisition from source systems and integration Data transformation and synthesis Data enrichment with business logic; hierarchical views Data discovery through data mining Data presentation and distribution Data access for the masses IntegrateAnalyzeReport

Analysis Services Roadmap Enter the Game Entry-level offering Establish industry application programming interface (API) Generate mindshare Focus on total cost of ownership (TCO) Win Leadership Feature complete Penetrate the enterprise Thought leadership Market share leadership Scale Breakthrough

What Is Analysis Services? Dashboards Rich Reports BI Front Ends Spreadsheets Ad Hoc Reports SQLServer Teradata OracleDB2 LOB DW Datamart AnalysisServices UDM Cache XML/A or ODBO

What Is Analysis Services? - Notes Dashboards Rich Reports BI Front Ends Spreadsheets Ad Hoc Reports SQLServer Teradata OracleDB2 LOB DW Datamart AnalysisServices UDM Cache XML/A or ODBO

One Version of the Truth Multiple enterprise data sources Single business view of the data Common business terminology Unified data navigation experience One version of business analytics OLAP browser, Reporting Services, BI apps

One Version of the Truth - Notes Multiple enterprise data sources Single business view of the data Common business terminology Unified data navigation experience One version of business analytics OLAP browser, Reporting Services, BI apps

Demo Defining a Cube Define a Data Source Define a Data Source View Explore Data demonstration

Introducing Analysis Services Providing Intelligent Data Agenda

Data Enrichment and Analytics Advanced business logic, rules, and calculations Key performance indicators Data mining and predictive analytics What-if modeling

Data Enrichment… - Notes Advanced business logic, rules, and calculations Key performance indicators Data mining and predictive analytics What-if modeling

Demo Refining an Analysis Cube Provide Localized Metadata Use Perspectives Use Key Performance Indicators demonstration

Real-Time and High Performance Isolate back-end sources Accelerated response time Real-time data access

Mission Critical Reliable and available Designed for 7/24/365 Scalable Secure by design Manageable

Mission Critical - Notes Reliable and available Designed for 7/24/365 Scalable Secure by design Manageable

Common Bet on Analysis ServicesSQL Server ™ Teradata OracleDB2 LOB DW Datamart AnalysisServices UDM Cache XML/A or ODBO

Benefits of UDM Rich, easily understood model Supported by BI applications Powerful calculation engine Heterogeneous data sources Interactive query performance over large data volumes

Benefits of UDM - Notes Rich, easily understood model Supported by BI applications Powerful calculation engine Heterogeneous data sources Interactive query performance over large data volumes

Uses of Relational-Based Reporting Queries outside model Full text search Very real time Exploit database- level objects

A watershed Analysis Services release Advances in functionality, scalability, manageability, and integration UDM is a breakthrough technology at the heart of the SQL Server BI architecture Session Summary

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