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Working with complicated data models in DAX

Thu, Jan 17 2019 19:00 UTC

Working with complicated data models in DAX

Have you ever watched a demo of DAX functionality, and marvelled at how simple the language is, but yet, when you work on your own data model, it just doesn't work as expected? In this session, we'll look at 4 common problems which occur when you're using more complicated data modelling techniques, and design and implement a simple solution to overcome these complications. From role-playing dimensions and bi-directional filters to advanced filter context and overriding the default blank behaviour, we'll learn to solve a variety of problems and add value to our data models.


James McGillivray

James McGillivray, Data Management and Analytics MCSE, has been working in Business Intelligence for over a decade. He spends his working hours building solutions that allow people to make informed decisions quickly and accurately. Before his career in data, James was an avid musical theatre student and musician. This love for performance has developed into a passion for developing and delivering presentations that are informative and enjoyable. James speaks frequently at the Johannesburg SQL User Group, and has delivered sessions at a number of SQLSaturdays in South Africa and abroad. At SQLSaturday Los Angeles 2017, two of James' talks were voted in the top 5 talks for the day.

Follow us on Twitter: @PASSBAVC | Contact us: PASSBAVC@SQLPASS.ORG
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