Overview:
The purpose of this course is to teach Business Intelligence (BI) professionals to design a multidimensional solution architecture that supports their BI solution. You will go through the entire process - from capturing business and technical requirements to deploying a multidimensional solution to production. You will also be taught to develop custom functionality and optimise a multidimensional solution.
Learning method:
Instructor led.
There is a heavy emphasis on individual exercises.
Who will benefit from this course?
This course is intended for experienced BI professionals – those who 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.
Pre-requisites:
Before attending this course you should have hands-on experience with database development tasks.
For example:
- creating Transact-SQL queries
- writing and optimising 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.
- have conceptual understanding of OLAP technologies, multi-dimensional data, MDX, and relational database modeling.
- understand the difference between replication and ETL
What can you expect to gain from this course?
After completing this course, you will be able to:
- capture the business and technical requirements for a BI 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 optimise an analysis services solution
- implement a data mining solution
Course Content:
Module 1: Capturing Business and Technical Requirements
- Planning a Multidimensional Solution
- Identifying Requirements and Constraints
Module 2: Designing and Implementing a Logical OLAP Solution Architecture
- Planning a Unified Dimensional Model
- Designing and Implementing Fact and Dimension Tables
- Designing and Implementing Cubes
Module 3:Designing Physical Storage for a Multidimensional Solution
- Designing Physical Storage
- Partitioning Relational Data
- Partitioning Multidimensional Data
Module 4:Creating Calculations
- Implementing Calculated Members
- Implementing Named Sets
- Implementing Scoped MDX Scripts
Module 5:Extending Cube Functionality
- Key Performance Indicators
- Actions
- 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
Module 7:Deploying a Multidimensional Solution into Production
- Deploying an Analysis Services Database
- Managing Analysis Services Security
Module 8:Optimizing an OLAP Solution
- Monitoring Analysis Services
- Optimizing Performance
Module 9:Implementing Data Mining
- Introduction to Data Mining
- Implementing a Data Mining Solution
- Using Data Mining in a BI Solution