20466 Implementing Data Models and Reports with SQL Server 2014
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COURSE COST: $2495.00

COURSE TIMES: 9:00am - 4:30pm

Printable version of this course


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.


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.

This course requires that you meet the following prerequisites:
  • At least 2 years’ experience of working with relational databases, including:
  • Designing a normalized database.
  • Creating tables and relationships.
  • Querying with Transact-SQL.
  • 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.


    *Course Cost listed does not include the cost of courseware or exam. Course is subject to a minimum enrollment to run. Course may run as a virtually instructor led class if the minimum enrollment is not met. For more information, please contact: learn@vtec.org


Module 1: Introduction to Business Intelligence and Data Modeling
Introduction to Business Intelligence
The Microsoft Enterprise BI Platform
Planning an Enterprise BI Project
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
MDX Fundamentals
Adding Calculations to a Cube
Using MDX to Query a Cube
Lab : Using MDX

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
Enhancing a Tabular Data Model with DAX
Lab : Creating Calculated Columns and Measures by using DAX

Module 9: Implementing Reports with SQL Server Reporting Services
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