Cwkdtgekv3ejhp4fmskq
SkillsCast

Deep dive into data modeling using Power BI desktop and SSAS

1st February 2017 in London at CodeNode

This SkillsCast was filmed at Deep dive into data modeling using Power BI desktop and SSAS

Are you interested in finding out the best ways to utilise the Analysis Services model to solve modelling problems? Join this month's Power BI meetup with Kasper de Jonge!

The Analysis Services model used in both Power BI Desktop and SSAS allows solving of very complex modelling issue. In this session we will look at solving several complex modelling problems like many-to-many using the latest version of Power BI desktop and Analysis Services.

YOU MAY ALSO LIKE:

Thanks to our sponsors

Deep dive into data modeling using Power BI desktop and SSAS

Kasper de Jonge

Speaker: Kasper de Jonge is a Principal Program Manager on the BI team at Microsoft, where he has worked on developing features for Power BI, Power Pivot and other Analysis Services products such as the Tabular model and Multidimensional cubes. He is a frequent speaker at conferences such as TechEd, SQLPASS, and SQLSaturday.

SkillsCast

Are you interested in finding out the best ways to utilise the Analysis Services model to solve modelling problems? Join this month's Power BI meetup with Kasper de Jonge!

The Analysis Services model used in both Power BI Desktop and SSAS allows solving of very complex modelling issue. In this session we will look at solving several complex modelling problems like many-to-many using the latest version of Power BI desktop and Analysis Services.

YOU MAY ALSO LIKE:

Thanks to our sponsors

About the Speaker

Deep dive into data modeling using Power BI desktop and SSAS

Kasper de Jonge

Speaker: Kasper de Jonge is a Principal Program Manager on the BI team at Microsoft, where he has worked on developing features for Power BI, Power Pivot and other Analysis Services products such as the Tabular model and Multidimensional cubes. He is a frequent speaker at conferences such as TechEd, SQLPASS, and SQLSaturday.