Designing an Analysis Solution Architecture Using Microsoft SQL Server 2005 Analysis Services (Premium Series)

Course Details:

  • Days: 3
  • Course Code: MS2796
  • Booking: Please ring 08450 50 45 05



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Overview

Note You are viewing a Preliminary Course Syllabus. This course is not yet available. Because some parts of the course are currently in development, some 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.

Prerequisites

Before attending this course, students must:

  • Have hands-on experience with database development tasks. For example: Creating Transact-SQL queries and 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—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 and Microsoft SQL Server Profiler

Leads to examinations

  • 70-445 - Designing Business Intelligence Solutions by Using Microsoft SQL Server 2005 Analysis Services
  • 70-446 - Designing a Business Intelligence Infrastructure by Using Microsoft SQL Server 2005

Leads to certification

Delegates will learn how 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.

Course Outline

  • Module 1: Capturing Business and Technical Requirements
  • Module 2: Designing and Implementing a Logical OLAP Solution Architecture
  • Module 3: Designing Physical Storage for a Multidimensional Solution
  • Module 4: Creating Calculations
  • Module 5: Extending Cube Functionality
  • Module 6: Designing an Analysis Services Infrastructure
  • Module 7: Deploying a Multidimensional Solution into Production
  • Module 8: Optimizing an OLAP Solution
  • Module 9: Implementing Data Mining

Recommended follow on course

 

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