M2796: Designing on Analysis Solution Architecture Using Microsoft SQL Server 2005 Analysis Services

Prerequisites:

Before attending this course, students must:

- Have hands-on experience with database development tasks. For example:
- Creating Transact-SQL queries
- Writing and optimizing advanced queries (for example, queries that contain complex joins or subqueries)
- Creating database objects such as tables, views, and indexes
- 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, and preferably have read at least one book by Ralph Kimball or Bill Inmon.
- Conceptual understanding of OLAP technologies, multi-dimensional data, MDX, and relational database modeling. For example, know what facts, dimensions, measures, calculated measures, and foreign keys are.
- Be familiar with SQL Server 2005 features, tools, and technologies. In particular, they must have built and queried a cube.
- Have foundational understanding of Microsoft Windows security. For example, how groups, delegation of credentials, and impersonation function in a security context.
- Have foundational understanding of Web-based architecture. For example, SSL, SOAP, and IIS?¢‚ÄöᮂÄöÑπwhat they are and what their role is.
- 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

Course Description:

Elements of this syllabus are subject to change.

The purpose of this 3-day course is to teach Business Intelligence (BI) professionals working in enterprise environments 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.

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

This course includes the following modules:

Capturing Business and Technical Requirements

• Planning a Multidimensional Solution
• Identifying Requirements and Constraints

Designing and Implementing a Logical OLAP Solution Architecture

• Planning a Unified Dimensional Model
• Designing and Implementing Fact and Dimension Tables
• Designing and Implementing Cubes

Designing Physical Storage for a Multidimensional Solution

• Designing Physical Storage
• Partitioning Relational Data
• Partitioning Multidimensional Data

Creating Calculations

• Implementing Calculated Members
• Implementing Named Sets
• Implementing Scoped MDX Scripts

Extending Cube Functionality

• Key Performance Indicators
• Actions
• Stored Procedures

Designing an Analysis Services Infrastructure

• Considerations for Analysis Services Resource Requirements
• Considerations for Analysis Services Scalability
• Considerations for Analysis Services Availability

Deploying a Multidimensional Solution into Production

• Deploying an Analysis Services Database
• Managing Analysis Services Security

Optimizing an OLAP Solution

• Monitoring Analysis Services
• Optimizing Performance

Implementing Data Mining

• Introduction to Data Mining
• Implementing a Data Mining Solution
• Using Data Mining in a BI Solution