We are extremely fortunate to have Marco Russo speak at our user group. This is one NOT to miss.
There are two ways to solve any analytical problem: the right way and the wrong way. Most of the time, the right way involves building the correct data model first, and then authoring very simple DAX code. The wrong way would be creating a data model that just imports the available data, and then writing crazy DAX code to compute the required numbers.
In this session, we will introduce the basic principles of data modeling for analytics. We will consider several scenarios where the data model makes a difference. This will clarify why a model is “right” or “wrong” and why spending enough time to design the right data model greatly pays back at the time of coding.
Marco is a business intelligence consultant and mentor. He first started working on Analysis Services in 1998, back when Analysis Services was known as OLAP Services.
A veteran of end-to-end projects, Marco wrote several books with Alberto Ferrari about Power BI, Analysis Service, and Power Pivot. They also regularly write articles and white papers that are available on sqlbi.com. Marco is a Microsoft MVP and an SSAS Maestro, the highest level of certification on Microsoft Analysis Services.
Today, Marco focuses his time with SQLBI customers, traveling extensively to train and consult on DAX and data modeling for Power BI and Analysis Services. Marco also teaches public classes worldwide.
Marco is a regular speaker at international conferences like Microsoft Ignite, PASS Summit, and Sqlbits. He also enjoys delivering evening sessions at local user groups during his trips.
As usual we will meet at 5:30pm for a 6pm start.