Implementing Data Models and Reports with Microsoft SQL Server 2014 (M20466)

In this course, you will learn the tools needed to create managed enterprise business intelligence (BI) solutions. You will learn about data modeling by creating multidimensional databases, cubes and dimensions, measures and measure groups, MDX fundamentals, analysis services, and Data Analysis Expressions (DAX). You will then learn how to create and publish reports using reporting services, report execution and delivery, SharePoint PerformancePoint Services, and data mining.

This course is designed for those interested in learning SQL Server 2012 or 2014 and covers the new features in SQL Server 2014 as well as the important capabilities across the SQL Server data platform.

This course incorporates material from the Official Microsoft Learning Product 20466: Implementing Data Models and Reports with Microsoft SQL Server. It covers the skills and knowledge measured by Exam 70-466 and along with on-the-job experience, helps you prepare for the exam.


  • Components, architecture and nature of a BI solution
  • Implement dimensions in a cube
  • Implement measures and measure groups in a cube
  • Multidimensional Expressions (MDX) syntax
  • Cube customization
  • Implement tabular data model in SQL Server Analysis Services
  • Enhance a tabular model using DAX
  • Reporting services
  • Report enhancement using charts and parameters
  • Report execution and delivery management
  • Implement a dashboard in SharePoint Server with PerformancePoint Services
  • Predictive analysis using data mining

Target Audience

  • Database professionals who fulfill a BI developer role
  • Database professionals who create analysis and reporting solutions whose responsibilities include:
    • Implementing analytical data models, such as OLAP cubes
    • Implementing reports and managing report delivery
    • Creating business performance dashboards
    • Support data mining and predictive analysis


  • Minimum two years experience with relational databases
  • Knowledge and skills that include:
    • Normalized database design
    • Creating tables and relationships
    • Querying with Transact-SQL
    • Data warehouse schema topology, including Star and Snowflake schemas
    • Basic programming constructs: looping and branching
    • Key business priorities for revenue, profitability, and financial accounting

Expected Duration

5 day

Course Objectives

1.æIntroduction to Business Intelligence and Data Modeling

´æElements of an Enterprise BI Solution
´æThe Microsoft Enterprise BI Platform

2.æCreate Multidimensional Databases

´æMultidimensional Analysis
´æCreate Data Sources and Data Source Views
´æCreate a Cube
´æCube Security

3.æWork with Cubes and Dimensions

´æConfigure Dimensions
´æAttribute Hierarchies
´æSorting and Grouping Hierarchies

4.æWork with Measures and Measure Groups

´æDefine Fact Tables
´æAssociate Dimensions with Measures

5.æMultidimensional Expressions (MDX)

´æMDX Fundamentals
´æAdd Calculations to a Cube
´æUsing MDX to Query a Cube

6.æCustomize Cube Functionality

´æImplement Key Performance Indicators (KPIs)
´æImplement Actions, Perspectives, and Translations

7.æImplement an Analysis Services Tabular Data Model

´æAnalysis Services Tabular Data Models
´æCreate a Tabular Data Model
´æAnalysis Services Tabular Data Models in an Enterprise BI Solution

8.æData Analysis Expression (DAX)

´æDAX Fundamentals
´æEnhance a Tabular Data Model with DAX

9.æImplement Reports with SQL Server Reporting Services

´æReporting Services
´æCreate a Report with Report Designer
´æGrouping and Aggregating Data in a Report
´æ Show Data Graphically
´æFilter Reports using Parameters

10.æAutomate Report Execution and Delivery

´æManage Report Security
´æManage Report Execution
´æSubscriptions and Data Alert
´æTroubleshoot Reporting Services

11.æDeliver BI with SharePoint PerformancePoint Services

´æSharePoint Server as a BI Platform and PerformancePoint Services
´æPerformancePoint Data Sources and Time Intelligence
´æReports, Scorecards, and Dashboards

12.æPerform Predictive Analysis with Data Mining

´æData Mining
´æData Mining Add-ins for Microsoft Excel
´æCreate a Data Mining Solution
´æValidate a Data Model
´æConsume Data Mining Data