M20466: Implementing Data Models and Reports with Microsoft SQL Server

Duration: 5 Days

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 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.

What You'll Learn

• 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

Who Needs to Attend

• 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

Prerequisites

• 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

• Querying Microsoft SQL Server (M20461)
• Implementing a Data Warehouse with Microsoft SQL Server (M20463)

Follow-On Courses

• Designing Self-Service Business Intelligence and Big Data Solutions (M20467)

Certification Programs and Certificate Tracks

This course is part of the following programs or tracks:

• MCSE: Business Intelligence

Course Outline

1. Introduction to Business Intelligence and Data Modeling

• Elements of an Enterprise BI Solution
• The Microsoft Enterprise BI Platform
• Plan an Enterprise BI Project

2. Create Multidimensional Databases

• Multidimensional Analysis
• Create Data Sources and Data Source Views
• Create a Cube
• Cube Security

3. Work with Cubes and Dimensions

• Configure Dimensions
• Attribute Hierarchies
• Sorting and Grouping Hierarchies

4. Work with Measures and Measure Groups

• Define Fact Tables
• Associate Dimensions with Measures

5. Multidimensional Expressions (MDX)

• MDX Fundamentals
• Add Calculations to a Cube
• Using MDX to Query a Cube

6. Enhance a Cube

• Implement Key Performance Indicators (KPIs)
• Implement Actions, Perspectives, and Translations

7. Implement an Analysis Services Tabular Data Model

• Analysis Services Tabular Data Models
• Create a Tabular Data Model
• Analysis Services Tabular Data Models in the Enterprise

8. Data Analysis Expression (DAX)

• DAX Fundamentals
• Enhance a Tabular Data Model with DAX

9. Implement Reports with SQL Server Reporting Services

• Reporting Services
• Create a Report with Report Designer
• Grouping and Aggregating Data in a Report
• Publish and View a Report

10. Enhance Reports with SQL Server Reporting Services

• Show Data Graphically
• Filter Reports Using Parameters
• Visualizing Data with Power View

11. Manage Report Execution and Delivery

• Manage Report Security
• Manage Report Execution
• Subscriptions and Data Alert
• Troubleshoot Reporting Services

12. Deliver BI with SharePoint PerformancePoint Services

• SharePoint Server as a BI Platform and PerformancePoint Services
• PerformancePoint Data Sources and Time Intelligence
• Reports, Scorecards, and Dashboards

13. Perform Predictive Analysis with Data Mining

• Data Mining
• Create a Data Mining Solution
• Validate a Data Model
• Consume Data Mining Data

Labs

Lab 1: Explore BI Solutions

Lab 2: Create a Multidimensional Database

• Create a Data Source
• Create and Modify a Data Source View and Cube
• Add a Dimension

Lab 3: Define Dimensions

• Configure Dimensions and Attributes
• Create Hierarchies
• Create a Hierarchy with Attribute Relationships and a Ragged Hierarchy
• Browse Dimensions and Hierarchies in a Cube

Lab 4: Configure Measures and Measure Groups

• Configure Measures and Measure Group Storage
• Regular Relationship

Lab 5: Use MDX

• Create Calculated Members
• Query a Cube using MDX

Lab 6: Customize a Cube

• Implement an Action, Perspectives and a Translation

Lab 7: Implement an Analysis Services Tabular Data Model

• Configure Columns and Relationships
• Deploy an Analysis Services Tabular Data Model

Lab 8: Enhance a Tabular Data Model using DAX

• Create Calculated Columns, Measures, and KPI
• Implement a Parent-Child Hierarchy

Lab 9: Create a Report with Report Designer

Lab 10: Enhance a Report

• Add a Chart and Parameters to a Report
• Use Data Bars, Sparklines, and a Map

Lab 11: Configure Report Execution and Delivery

• Implement a Standard and a Data-Driven Subscription

Lab 12: Implement a SharePoint Server BI Solution

• Create a SharePoint Server Site for BI
• Configure PerformancePoint Data Access
• Create PerformancePoint Reports, Scorecards and Dashboards

Lab 13: Use Data Mining to Support a Marketing Campaign

• Table Analysis Tools
• Create a Data Mining Structure
• Add a Data Mining Model to a Data Mining Structure
• Validate a Data Mining Model and Use in a Report