About this course
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.
In this course, you’ll learn theory and technique for:
- Choosing the right model architecture
- Importing data to create tables and defining relationships
- Enhancing model designs with usability features
- Enhancing model designs with business logic
- Managing tabular databases
- Designing for DirectQuery mode
- Deploying to Azure Analysis Services
- Comparing tabular and multidimensional models