MOC 20768, Developing SQL Data Models

This 3 day instructor-led training class is presented by Microsoft training partners to their end customers. Training partners in North America and the UK hire proven AMS Subject Matter Expert Microsoft Certified Trainers (MCT’s) to teach on-site and on-line classes.



This course requires that you meet the following prerequisites: Basic knowledge of the Microsoft Windows operating system and its core functionality. Working knowledge of Transact-SQL. Working knowledge of relational databases.

Target Audience

The primary audience for this course are database professionals who need to fulfil BI Developer role to create enterprise BI solutions. Primary responsibilities will include: – Implementing multidimensional databases by using SQL Server Analysis Services – Creating tabular semantic data models for analysis by using SQL Server Analysis Services – The secondary audiences for this course are ‘power’ information workers/data analysts.

Course Objectives

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 database – Use DAX to query a tabular model – Use data mining for predictive analysis

Course Outline

1 – Introduction to Business Intelligence and Data Modeling

Introduction to Business Intelligence The Microsoft business intelligence platform Lab : Exploring a Data Warehouse

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

3 – Working with Cubes and Dimensions

Configuring dimensions Define attribute hierarchies Sorting and grouping attributes Lab : Working with Cubes and Dimensions

4 – Working with Measures and Measure Groups

Working with measures Working with measure groups Lab : Configuring Measures and Measure Groups

5 – Introduction to MDX

MDX fundamentals Adding calculations to a cube Using MDX to query a cube Lab : Using MDX

6 – Customizing Cube Functionality

Implementing key performance indicators Implementing actions Implementing perspectives Implementing translations Lab : Customizing a Cube

7 – Implementing a Tabular Data Model by Using Analysis Services

Introduction to tabular data models Creating a tabular data model Using an analysis services tabular model in an enterprise BI solution Lab : Working with an Analysis services tabular data model

8 – Introduction to Data Analysis Expression (DAX)

DAX fundamentals Using DAX to create calculated columns and measures in a tabular data model Lab : Creating Calculated Columns and Measures by using DAX

9 – 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 a data mining model Lab : Perform Predictive Analysis with Data Mining

To Hire a proven AMS Microsoft SQL Server 2016 Subject Matter Expert who also teaches this class, Call 800-798-3901 Today!

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