2796 Designing an Analysis Solution Architecture Using Microsoft SQL Server 2005 Analysis Services

Instructor led, group-paced, classroom-delivery learning model with structured hands-on activities

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.

•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.
•Have a conceptual understanding of OLAP technologies, multidimensional 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 an Analysis Services 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-what 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

•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.

Module 1: Capturing Business and Technical Requirements

•Planning an Analysis Solution
•Identifying Requirements and Constraints
Lab : Capturing Business and Technical Requirements
•Reviewing Solution Requirements
•Identifying Further Information Requirements

Module 2: Designing and Implementing a Logical OLAP Solution Architecture

•Planning an OLAP Solution
•Designing and Implementing Fact and Dimension Tables
•Designing and Implementing Cubes
Lab : Designing and Implementing an OLAP Solution
•Designing and Implementing a Relational Database Schema
•Designing and Implementing a Cube
•Designing and Implementing Perspectives

Module 3: Designing Physical Storage for a Multidimensional Solution

•Designing Physical Storage
•Partitioning Relational Data
•Partitioning Multidimensional Data
Lab : Designing and Implementing Physical Storage
•Designing and Implementing a Storage Solution
•Designing and Implementing Relational Partitioning
•Designing and Implementing Multidimensional Partitioning
•Testing the Solution
After completing this module, students will be able to:
•Design an effective physical storage solution for dimensions and measures.
•Partition relational data.
•Partition multidimensional data.

Module 4: Creating Calculations

•Implementing Calculated Members
•Implementing Named Sets
•Implementing Scoped MDX Scripts
Lab : Implementing Calculations
•Creating Calculated Members
•Creating Named Sets
•Creating a Scoped MDX Script

Module 5: Extending Cube Functionality

•Key Performance Indicators
•Actions
•Stored Procedures
Lab : Implementing Advanced Functionality
•Creating KPIs
•Creating Actions
•Creating Stored Procedures

Module 6: Designing an Analysis Services Infrastructure

•Considerations for Analysis Services Resource Requirements
•Considerations for Analysis Services Scalability
•Considerations for Analysis Services Availability
Lab : Designing and Implementing Analysis Services Infrastructure
•Planning Production System Infrastructure
•Installing Analysis Services in a Cluster

Module 7: Deploying a Multidimensional Solution into Production

•Deploying an Analysis Services Database
•Managing Analysis Services Security
Lab : Deploying Analysis Services into Production
•Deploying an Analysis Services Database
•Enabling User Access

Module 8: Optimizing an OLAP Solution

•Monitoring Analysis Services
•Optimizing Performance
Lab : Optimizing Analysis Services
•Monitoring Analysis Services
•Optimizing Queries

Module 9: Implementing Data Mining

•Introduction to Data Mining
•Implementing a Data Mining Solution
•Using Data Mining in a BI Solution
Lab : Implementing Data Mining
•Creating a Data Mining Structure
•Validating a Data Mining Structure

Infero Training Ltd is based in the Lace Market in Nottingham. Training courses take place at the following locations including Nottingham, Derby, Loughborough, Mansfield, Chesterfield, Burton-on-Trent, Lincoln, Leicester, Sheffield, Stoke-on-Trent, Tamworth, Wolverhampton, Walsall, Birmingham, Solihul, Coventry, Nuneaton, Peterborough, Grantham.