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Designing an Analysis Solution Architecture Using Microsoft SQL Server 2005 Analysis Services Training Course

6 sessions available starting from $2,040.00

Subject: Microsoft Sql Server

Ages: All ages

Skill level: All difficulty levels

Course Code: 2796
Course Duration: 3 days

This three day instructor-led (Level 300) course will 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 optimise 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.

Skills Gained

After completing this course, students...

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Course Code: 2796
Course Duration: 3 days

This three day instructor-led (Level 300) course will 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 optimise 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.

Skills Gained

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.

Course Modules

Module 1: Capturing Business and Technical Requirements
In this module, students will first learn about key design principles that they should consider when defining 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.

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.

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.

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.

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.

Module 6: Designing an Analysis Services Infrastructure
In this module, students will learn how to design an appropriate infrastructure for an OLAP application.

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.

Module 8: Optimising an OLAP Solution
In this module, students will learn how to monitor Analysis Services and how to optimize performance of their Analysis Services solutions.

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.

Who Should Attend

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.

Prerequisites

Before attending this course students must 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. 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 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

In addition students must 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

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Choose from 6 available sessions:

When

Please contact us for upcoming dates and/or more information about this class.

Where

  • 5/159-175 Church St
    Parramatta, NSW 2150

Price: $2,040.00

Type

  • Class / Group Sessions

When

Please contact us for upcoming dates and/or more information about this class.

Where

  • 5/159-175 Church St
    Parramatta, NSW 2150

Price: $2,040.00

Type

  • Class / Group Sessions

When

Please contact us for upcoming dates and/or more information about this class.

Where

  • 5/159-175 Church St
    Parramatta, NSW 2150

Price: $2,040.00

Type

  • Class / Group Sessions

When

Please contact us for upcoming dates and/or more information about this class.

Where

  • 5/159-175 Church St
    Parramatta, NSW 2150

Price: $2,040.00

Type

  • Class / Group Sessions

When

Please contact us for upcoming dates and/or more information about this class.

Where

  • 5/159-175 Church St
    Parramatta, NSW 2150

Price: $2,040.00

Type

  • Class / Group Sessions

When

Please contact us for upcoming dates and/or more information about this class.

Where

  • 5/159-175 Church St
    Parramatta, NSW 2150

Price: $2,040.00

Type

  • Class / Group Sessions



Reviews

John Weber
Good experience!
  • 5/5 stars

I took CCNA class in MIS. It was pretty good, the course was hands-on and teacher was instructional. I was also...
John Weber

see all reviews »


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