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All Classes Will Be Held Virtually – Live Online Intertech's Training Division has been successfully instructing professionals through virtual live online training since the advent of the smartboard. It is a proven form and offers the convenience of live questions, group interaction, and labs with an instructor looking over your shoulder. Because of this, we will continue all classes live but virtually, including Agile and Scrum instruction, so businesses and individual’s seeking professional development can keep moving forward during these unexpected times.

Implementing and Maintaining Microsoft SQL Server 2008 Analysis Services Training

Course ID: MSL-6234
Duration: 3 Days

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<div class="addthis_toolbox addthis_default_style"> This three-day instructor-led course teaches students how to implement an Analysis Services solution in an organization. The course discusses how to use the Analysis Services development tools to create an Analysis Services database and an OLAP cube, and how to use the Analysis Services management and administrative tools to manage an Analysis Services solution.</div>

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For groups of 5 or more, let Intertech bring this course to your location. Customized versions tailored towards your objectives are also available.

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Learning Objectives

<p> After completing this course, students will be able to:</p> <ul> <li> Describe how SQL Server Analysis Services can be used to implement analytical solutions</li> <li> Create multidimensional analysis solutions with SQL Server Analysis Services</li> <li> Implement dimensions and cubes in an Analysis Services solution</li> <li> Implement measures and measure groups in an Analysis Services solution</li> <li> Query a multidimensional Analysis Services solution</li> <li> Customize an Analysis Services cube</li> <li> Deploy and secure an Analysis Services database</li> <li> Maintain a multidimensional Analysis Services solution</li> <li> Implement a Data Mining solution</li> </ul>


<p> The primary audience for this course is individuals who design and maintain business intelligence solutions for their organization. These individuals work in environments where databases play a key role in their primary job and may perform database administration and maintenance as part of their primary job responsibilities.<br /> The secondary audience for this course is individuals who develop applications that deliver content from SQL Server Analysis Services to the organization.</p>


<p> Before attending this course, students must have:</p> <ul> <li> Conceptual understanding of OLAP solutions</li> <li> Experience navigating the Microsoft Windows Server environment</li> <li> Experience with Windows services (starting and stopping)</li> <li> Experience creating service accounts and permissions</li> <li> Experience with Microsoft SQL Server, including SQL Server Agent, SQL Server query language (SELECT, UPDATE, INSERT, and DELETE), SQL Server System tables, SQL Server accounts (users and permissions)</li> </ul>

Course Outline

<div> <span class="blueSubHeader">Introduction to Microsoft SQL Server Analysis Services</span></div> <ul> <li> Overview of Data Analysis Solutions</li> <li> Overview of SQL Server Analysis Services</li> <li> Installing SQL Server Analysis Services</li> </ul> <div> <span class="blueSubHeader">Creating Multidimensional Analysis Solutions</span></div> <ul> <li> Developing Analysis Services Solutions</li> <li> Creating Data Sources and Data Source Views</li> <li> Creating a Cube</li> </ul> <div> <span class="blueSubHeader">Working with Cubes and Dimensions</span></div> <ul> <li> Configuring Dimensions</li> <li> Defining Attribute Hierarchies</li> <li> Sorting and Grouping Attributes</li> </ul> <div> <span class="blueSubHeader">Working with Measures and Measure Groups</span></div> <ul> <li> Working With Measures</li> <li> Working with Measure Groups</li> </ul> <div> <span class="blueSubHeader">Querying Multidimensional Analysis Solutions</span></div> <ul> <li> MDX Fundamentals</li> <li> Adding Calculations to a Cube</li> </ul> <div> <span class="blueSubHeader">Customizing Cube Functionality</span></div> <ul> <li> Implementing Key Performance Indicators (KPI)</li> <li> Implementing Actions</li> <li> Working with Perspectives</li> <li> Working with Translations</li> </ul> <div> <span class="blueSubHeader">Deploying and Securing an Analysis Services Database</span></div> <ul> <li> Deploying an Analysis Services Database</li> <li> Securing an Analysis Services Database</li> </ul> <div> <span class="blueSubHeader">Maintaining a Multidimensional Solution</span></div> <ul> <li> Configuring Processing</li> <li> Logging, Monitoring, and Optimizing an Analysis Services Solution</li> <li> Backing Up and Restoring an Analysis Services Database</li> </ul> <div> <span class="blueSubHeader">Introduction to Data Mining</span></div> <ul> <li> Overview of Data Mining</li> <li> Creating a Data Mining Solution</li> <li> Validating Data Mining Models</li> </ul>

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