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Designing an Analysis Solution Architecture Using Microsoft SQL Server 2005 Analysis Services - (Microsoft Training Course: 2796) - 3 days
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Target Audience
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Pre-requisites
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Purpose
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Print 2 Page Flyer
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Exams
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Price Options
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COURSE OUTLINE
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Capturing Business and Technical Requirements
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Designing and Implementing a Logical OLAP Solution Architecture
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Designing Physical Storage for a Multidimensional Solution
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Creating Calculations
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Extending Cube Functionality
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Designing an Analysis Services Infrastructure
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Deploying a Multidimensional Solution into Production
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Optimizing an OLAP Solution
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Implementing Data Mining
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Target Audience:
This course is designed to teach Business Intelligence (BI) professionals working in enterprise environments to design a multidimensional solution architecture that supports their BI solution. It is intended for experienced BI professionals.
Pre-requisites:
Before attending this course, students must have the following pre-requisites:- Have hands-on experience with database development tasks.
- Have foundational conceptual understanding of data warehousing, data marts, and Business Intelligence.
- Conceptual understanding of OLAP technologies, multi-dimensional data, MDX, and relational database modeling.
- Be familiar with SQL Server 2005 features, tools, and technologies.
- Have foundational understanding of Microsoft Windows security.
- Have foundational understanding of Web-based architecture.
- Must understand the difference between replication and ETL.
Purpose:
After completing this course, students 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 optimize an Analysis Services solution; implement a Data Mining Solution.
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Module 1: Capturing Business and Technical Requirements
- In this module, students will first learn about key design principles that they should consider when you define the scope of a BI project. They will then learn how to identify the business and technical requirements to ensure that their solution meets the needs of its users.
- Planning a Multidimensional Solution
- Identifying Requirements and Constraints
- Lab: Capturing Business and Technical Requirements
Skills
- Describe the purpose of a multidimensional solution.
- Identify requirements and constraints when designing a multidimensional solution.
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Module 2: Designing and Implementing a Logical OLAP Solution Architecture
- This module describes considerations and guidelines for designing an OLAP solution, including a relational data warehouse and an Analysis Services cube.
- Planning a Unified Dimensional Model
- Designing and Implementing Fact and Dimension Tables
- Designing and Implementing Cubes
- Lab: Designing and Implementing a UDM
Skills
- Describe design considerations for a UDM solution.
- Describe design considerations for the relational schema of an OLAP solution.
- Describe considerations for designing and implementing OLAP cubes.
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Module 3: Designing Physical Storage for a Multidimensional Solution
- In this module, students will learn how to design an effective physical storage solution for a multidimensional application.
- Designing Physical Storage
- Partitioning Relational Data
- Partitioning Multidimensional Data
- Lab: Designing and Implementing Physical Storage
Skills
- Design an effective physical storage solution for dimensions and measures.
- Partition relational data.
- Partition multidimensional data.
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Module 4: Creating Calculations
- In this module, students will learn how to create Multidimensional Expression (MDX) calculations. The module describes how to create calculated members, named sets, and scoped assignments.
- Implementing Calculated Members
- Implementing Named Sets
- Implementing Scoped MDX Scripts
- Lab: Implementing Calculations
Skills
- Create calculated members.
- Create named sets.
- Create scoped assignments.
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Module 5: Extending Cube Functionality
- In this module, students will learn about the benefits of KPIs, actions, and stored procedures. They will also learn how to implement KPIs, actions, and stored procedures in an Analysis Services cube.
- Key Performance Indicators
- Actions
- Stored Procedures
- Lab: Implementing Advanced Functionality
Skills
- Create KPIs.
- Create actions.
- Create stored procedures.
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Module 6: Designing an Analysis Services Infrastructure
- In this module, students will learn how to design an appropriate infrastructure for an OLAP application.
- Considerations for Analysis Services Resource Requirements
- Considerations for Analysis Services Scalability
- Considerations for Analysis Services Availability
- Lab: Designing and Implementing Analysis Services Infrastructure
Skills
- Specify appropriate hardware and software resources for an Analysis Services solution.
- Design an Analysis Services infrastructure that supports high scalability.
- Design an Analysis Services infrastructure that supports high availability.
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Module 7: Deploying a Multidimensional Solution into Production
- In this module, students will learn about and compare the different deployment methods available in SQL Server 2005 Analysis Services. They will also learn about how security in Analysis Services functions and how to protect their company’s critical business information.
- Deploying an Analysis Services Database
- Managing Analysis Services Security
- Lab: Deploying Analysis Services into Production
Skills
- Deploy an Analysis Services solution.
- Secure an Analysis Services solution.
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Module 8: Optimizing an OLAP Solution
- In this module, students will learn how to monitor Analysis Services and how to optimize performance of their Analysis Services solutions.
- Monitoring Analysis Services
- Optimizing Performance
- Lab: Optimizing Analysis Services
Skills
- Monitor Analysis Services.
- Optimize Analysis Services performance.
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Module 9: Implementing Data Mining
- In this module, students will learn what a data mining solution is and how to design and implement data mining functionality with SQL Server Analysis Services.
- Introduction to Data Mining
- Implementing a Data Mining Solution
- Using Data Mining in a BI Solution
- Lab: Implementing Data Mining
Skills
- Plan a data mining solution.
- Implement a data mining solution.
- Use data mining in a BI solution.
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Exams:
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Price Options ex VAT:
Classroom Training
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Distance Learning
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eLearning Options
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Book Learning
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£
1050
(€1491)
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£
674.00
(€957)
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No Books Supported for Course at present
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Call Free on 0800 169 1890
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Last Modified 01 May 2008
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