How to Do A Great Job When Working With (Data) Models

 
English Advanced AI & Machine Learning

Power BI is a self-service Business Intelligence tool, which does a great job in hiding complexity and technology away from the user. But when it comes to performance and even correct numbers, one should spend some time in finding the right way of modelling the tables and how they are related to each other. In this talk we spend 50 minutes on doing exactly that. You will get answers to questions like: Why should you care about the data model? What kind of relations are available? How do they influence performance? Why redundancy is (not) a bad thing?

Speaker

Markus Ehrenmüller-Jensen

BI Architect

Markus Ehrenmüller-Jensen is the founder of Savory Data and works as a project leader, trainer & consultant for data engineering, business intelligence, and data science since 1994. He is an educated software-engineer, graduated business educator and professor for databases and project engineering at HTL Leonding (technical college) and certified as MCSE Data Platform and MCSE Business Intelligence. Markus speaks regularly on international conferences (eg. SQL PASS Summit, SQLBits London, Power Platform Worldtour, SQL Saturdays, SQL Days, SQL PASS Austria, ...) and writes articles for well-known journals. In 2013 he co-founded SQL PASS Austria and organizes SQL Saturdays in Vienna since 2014. He co-founded Power BI Usergroup Austria in 2016. For his technical leadership in the community he was awarded as a Microsoft Data Platform MVP since 2017.

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