Implementing Data Models and Reports with Microsoft SQL Server Training Course
Course 20466
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"Simple, easy and the lab is very well structured."
-Jonathan Y.
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"Simple, easy and the lab is very well structured."
-Jonathan Y.
View more testimonials >
Course Overview
The focus of the five-day 20466 Implementing Data Models and Reports with Microsoft SQL Server Training Course is on creating managed enterprise BI solutions. The 20466 Implementing Data Models and Reports with Microsoft SQL Server Training Course describes how to implement multidimensional and tabular data models, deliver reports with Microsoft SQL Server Reporting Services, create dashboards with Microsoft SharePoint Server PerformancePoint Services, and discover business insights by using data mining. Please see our registration policy for information regarding low enrollment. Audience
Course 20466: Implementing Data Models and Reports with Microsoft SQL Server is designed for database professionals who need to fulfill a Business Intelligence Developer role to create analysis and reporting solutions. Some of the main responsibilities of the database professionals include:
Course Outline
Module 1: Introduction to Business Intelligence and Data Modeling As a SQL Server database professional, you may be required to participate in, or perhaps even lead, a project with the aim of implementing an effective enterprise BI solution. Therefore, it is important that you have a good understanding of the various elements that comprise a BI solution, the business and IT personnel typically involved in a BI project, and the Microsoft products that you can use to implement the solution. Lessons
Module 2: Creating Multidimensional Databases This module provides an introduction to multidimensional databases and introduces the core components of an Online Analytical Processing (OLAP) cube. Lessons
Module 3: Working with Cubes and Dimensions This module describes how to create and configure dimensions and dimension hierarchies in an Analysis Services multidimensional data model. Lessons
Module 4: Working with Measures and Measure Groups This module describes measures and measure groups. It also explains how you can use them to define fact tables and associate dimensions with measures. Lessons
Module 5: Introduction to MDX This module describes the fundamentals of MDX and explains how to build calculations, such as calculated members and named sets. Lessons
Module 6: Enhancing a Cube This module describes how to enhance a cube with Key Performance Indicators (KPIs), actions, perspectives, and translations. Lessons
Module 7: Implementing an Analysis Services Tabular Data Model This module describes Analysis Services tabular data models and explains how to develop a tabular data model using the SQL Server Data Tools for Business Intelligence (BI) add-in for Visual Studio. Lessons
Module 8: Introduction to DAX This module explains the fundamentals of the DAX language. It also explains how you can use DAX to create calculated columns and measures, and how you can use them in your tabular data models. Lessons
Module 9: Implementing Reports with SQL Server Reporting Services This module introduces Microsoft SQL Server Reporting Services and discusses the tools and techniques that a professional BI developer can use to create and publish reports. Lessons
Module 10: Enhancing Reports with SQL Server Reporting Services This module describes how to enhance a SQL Server reporting Services report with charts and other visualizations, and how to use parameters to filter data in a report. Lessons
Module 11: Managing Report Execution and Delivery This module describes how to apply security and report execution settings, and how to create subscriptions to deliver reports. Lessons
Module 12: Delivering BI with SharePoint PerformancePoint Services This module introduces Microsoft SharePoint Server as a platform for BI, and then focuses on building BI dashboards and scorecards with PerformancePoint Services. Lessons
Module 13: Performing Predictive Analysis with Data Mining This module introduces data mining, describes how to create a data mining solution, how to validate data mining models, how to use the Data Mining Add-ins for Microsoft Excel, and how to incorporate data mining results into Reporting Services reports. Lessons
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