MOD 20466: Implementing Data Models and Reports with SQL Server 2014


Duration: 5 days

The focus of this five-day instructor-led course is on creating managed enterprise BI solutions. It 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.

Note: This course is designed for customers who are interested in learning SQL Server 2012 or SQL Server 2014. It covers the new features in SQL Server 2014, but also the important capabilities across the SQL Server data platform.

This course is intended for database professionals who need to fulfill a Business Intelligence Developer role to create analysis and reporting solutions. Primary responsibilities include:

Implementing analytical data models, such as OLAP cubes.
Implementing reports, and managing report delivery.
Creating business performance dashboards.
Supporting data mining and predictive analysis.

After completing this course, students will be able to:

Describe the components, architecture, and nature of a BI solution.
Create a multidimensional database with Analysis Services.
Implement dimensions in a cube.
Implement measures and measure groups in a cube.
Use MDX Syntax.
Customize a cube.
Implement a Tabular Data Model in SQL Server Analysis Services.
Use DAX to enhance a tabular model.
Create reports with Reporting Services.
Enhance reports with charts and parameters.
Manage report execution and delivery.
Implement a dashboard in Sharepoint Server with PerformancePoint Servies
Use Data Mining for Predictive Analysis


This course requires you to meet the following prerequisites:

At least 2 years’ experience of working with relational databases, including:
Designing a normalized database.
Creating tables and relationships
Some basic knowledge of data warehouse schema topology (including star and snowflake schemas).
Some exposure to basic programming constructs (such as looping and branching).
An awareness of key business priorities such as revenue, profitability, and financial accounting is desirable.

What’s included?

  • Authorized Courseware
  • Intensive Hands on Skills Development with an Experienced Subject Matter Expert
  • Hands-on practice on real Servers and extended lab support 1.800.482.3172
  • Examination Vouchers & Onsite Certification Testing- (excluding Adobe and PMP Boot Camps)
  • Academy Code of Honor: Test Pass Guarantee
  • Optional: Package for Hotel Accommodations, Lunch and Transportation

With several convenient training delivery methods offered, The Academy makes getting the training you need easy. Whether you prefer to learn in a classroom or an online live learning virtual environment, training videos hosted online, and private group classes hosted at your site. We offer expert instruction to individuals, government agencies, non-profits, and corporations. Our live classes, on-sites, and online training videos all feature certified instructors who teach a detailed curriculum and share their expertise and insights with trainees. No matter how you prefer to receive the training, you can count on The Academy for an engaging and effective learning experience.


  • Instructor Led (the best training format we offer)
  • Live Online Classroom – Online Instructor Led
  • Self-Paced Video

Speak to an Admissions Representative for complete details

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Module 1: Introduction to Business Intelligence and Data Modeling


Introduction to Business Intelligence
The Microsoft Enterprise BI Platform
Lab: Exploring a BI Solution

Module 2: Creating Multidimensional Databases


Introduction to Multidimensional Analysis
Creating Data Sources and Data Source Views
Creating a Cube
Overview of Cube Security
Lab: Creating a Multidimensional Database

Module 3: Working with Cubes and Dimensions


Configuring Dimensions
Defining Attribute Hierarchies
Sorting and Grouping Hierarchies
Lab: Working with Cubes and Dimensions

Module 4: Working with Measures and Measure Groups


Working with Measures
Working with Measure Groups
Lab: Configuring Measures and Measure Groups

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.


MDX Fundamentals
Adding Calculations to a Cube
Using MDX to Query a Cube
Lab: Configuring Measures and Measure Groups

Module 6: Customizing Cube Functionality


Implementing Key Performance Indicators
Implementing Actions
Implementing Perspectives
Implementing Translations

Lab: Customizing a Cube

Module 7: Implementing an Analysis Services Tabular Data Model


Introduction to Tabular Data Models
Creating a Tabular Data Model
Using an Analysis Services Tabular Data Model in an Enterprise BI Solution
Lab: Implementing an Analysis Services Tabular Data Model

Module 8: Introduction to Data Analysis Expression (DAX)


DAX Fundamentals
Using DAX to create calculated columns and measures in Tabular Data Model
Lab: Creating Calculated Columns and Measures by using DAX

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.


Introduction to Reporting Services
Creating a Report with Report Designer
Grouping and Aggregating Data in a Report
Showing Data Graphically
Filtering Reports Using Parameters
Lab: Creating a Report with Report Designer

Module 10: Automating Report Execution and Delivery


Managing Report Security
Managing Report Execution
Delivering Reports with Subscriptions and Data Alerts
Troubleshooting Reporting Services
Lab: Implementing Report Subscriptions

Module 11: Delivering BI with Sharepoint PerformancePoint Services


Introduction to SharePoint Server as a BI Platform
Planning Security for a SharePoint Server BI Solution
Planning for PerformancePoint Services
Lab: Implementing PerformancePoint Services

Module 12: Performing Predictive Analysis with Data Mining


Overview of Data Mining
Using the Data Mining Add-in for Excel
Creating a Custom Data Mining Solution
Validating a Data Mining Model
Connecting to and Consuming Data Mining Data
Lab: Using Data Mining to Support a Marketing Campaign