Developing a Multidimensional Data Model

Overview

If you have large volumes of data and you need to deliver intuitive, interactive, and high-performance access to it, don’t miss this course!

Whether you're new to SQL Server 2016 Analysis Services or you’re experienced with previous versions, join us for a look at this powerful technology.

Learn how to design dimensions that enable you to browse data with hierarchy memberships. Then explore ways to assemble these dimensions in order to analyze measures in cubes.

You’ll get details on how to enhance your cubes with business logic; creating calculated members, named sets, scoped assignments, and key performance indicators (KPIs) with MDX—the language of multidimensional models.

Compare tabular and multidimensional Analysis Services models, so you can determine which is best for your project. Plus, find out how to manage and optimize multidimensional databases as you explore storage, processing, security, and deployment. Watch instructor demonstrations, and then roll up your sleeves to apply the lessons yourself with sample data in comprehensive, hands-on exercises.

By the end of the course, you'll have designed, developed, and deployed a multidimensional model, ready to deliver high-performance business user experiences. Register today for this practical SQL Server 2016 Analysis Services course.

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.

Syllabus

Module 1: Introducing Analysis Services
This module introduces multidimensional models and SQL Server 2016 Analysis Services. It covers developing models and connecting to data sources.

Module 2: Designing Multidimensional Models
This module covers developing dimensions and cubes, and enhancing cubes with business logic using Multidimensional Expressions (MDX).

Module 3: Managing Multidimensional Models
This module covers managing and optimizing multidimensional databases, including storage, aggregations, security, and hardware.

Module 4: Making Architectural Decisions
This module compares tabular models to multidimensional models.

Final Exam
The final exam 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.