Designing a OLAP Solution Architecture for the Enterprise using Microsoft SQL Server 2005

The purpose of this course is to teach business intelligence (BI) professionals working in enterprise environments how to design a multidimensional solution architecture that supports their BI solution. Students will go through the entire process-from capturing business and technical requirements, to deploying a multidimensional solution, to production. Students will also be taught to develop custom functionality and optimize a multidimensional solution. The course focuses on the planning and design aspects of an analysis solution and does not teach students how to create Analysis Services database objects or how to use the development tools provided with SQL Server 2005. After completing this course, students will be able to: • Capture the business and technical requirements for an analysis solution. • Design and implement a logical Online Analytical Processing (OLAP) solution architecture. • Design physical storage for a multidimensional solution. • Create calculated members and named sets. • Implement Key Performance Indicators (KPIs), actions, and stored procedures. • Design the infrastructure for an OLAP solution. • Deploy and secure an Analysis Services solution in a production environment. • Monitor and optimize an Analysis Services solution. • Implement a data mining solution.

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This course is intended for experienced BI professionals. The target students for this course already have an understanding of how to use SQL Server 2005 tools to implement Analysis Services functionality, but need to develop their understanding of design principles and best practices when planning, implementing, and deploying an Analysis Services solution.

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Before attending this course, students must: • Have hands-on experience with database development tasks. • Have foundational conceptual understanding of data warehousing, data marts, and business intelligence. Students must be well versed on the subjects of data warehousing, data marts, and BI. • Have a conceptual understanding of OLAP technologies, multidimensional data, MDX, and relational database modeling. • Be familiar with SQL Server 2005 features, tools, and technologies. In particular, they must have built and queried an Analysis Services cube. • Have foundational understanding of Microsoft Windows security. • Have foundational understanding of Web-based architecture. • Must understand the difference between replication and ETL. • Already know how to use: • Microsoft Office Visio • Microsoft SQL Server Business Intelligence Development Studio • Microsoft SQL Server Management Studio • Performance Monitor • Microsoft SQL Server Profiler