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Developing a Tabular Data Model

Microsoft via edX

This course may be unavailable.


If you need intuitive, interactive and high-performance access to your data—and especially if you have large volumes of data—then this course is for you.

Whether you're new to Analysis Services or are experienced with earlier versions, this course will teach you all the information you need to develop a tabular data model. You will learn how to import tables of data from different sources and relate them to form the foundation of your model. You will then learn how to enhance your model with usability features, such as hierarchies.

Next, you will learn how to enhance your model with business logic. You will learn how to create calculated columns, tables and measures using DAX, the language of tabular models.

Additional topics include how to manage a tabular database -- including table storage, processing, permissions and deployment -- and how to deploy your tabular model to the cloud with Azure Analysis Services.

Finally, this course will teach you how to compare the two types of Analysis Services models: tabular and multidimensional. This will help you to determine the appropriate data model for your project.

By the end of the course, you will have designed, developed and deployed a tabular model, and you will be ready to deliver high-performance business user experiences.

The course includes comprehensive hands-on exercises that enable you to directly apply the lessons with sample data.

Note: To complete the hands-on elements in this course, you will require an Azure subscription. You can sign up for a free Azure trial subscription (a valid credit card is required for verification, but you will not be charged for Azure services). Note that the free trial is not available in all regions. It is possible to complete the course and earn a certificate without completing the hands-on practices.


Module 1: Introducing Analysis Services
This module introduces tabular models and SQL Server 2016 Analysis Services. It covers developing models, importing data into tables, and defining relationships.
Module 2: Designing Tabular Models
This module covers enhancements to tabular models, including usability and business logic.
Module 3: Managing Tabular Models
This module introduces the deployment lifecycle for tabular models, and the use of DirectQuery mode.
Module 4: Making Architectural Decisions
This module covers Azure Analysis Services, and compares tabular models to multidimensional models.
Final Exam
The fourth week of the course is given over the final exam, which accounts for 70% of your grade and will be combined with the homework assignments in each module to determine your overall score. You must achieve an overall score of 70% or higher to pass this course and earn a certificate.

Taught by

Chris Randall and Peter Myers


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