Best bractices in DAX formulas from real world experience.
In this session we analyze some DAX expressions and Tabular models and, through the usage of DAX Studio and some understanding of the VertiPaq model, we will look at how to optimize them.
DirectQuery best practices in Analysis Services and Power BI
In this session we will look at all the important topics that are needed to get your Power BI modelling skills to the next level. We will cover the in memory engine, relationships, DAX filter context, DAX vs M and DirectQuery.
By using open data and web scraping in Power BI we will examine if weather has an impact on games in the English Premier League. We will look at the advantages and disadvantages of using open data and web page data how Power BI works with it.
Tabular offers only one-to-many relationships on a single column: it seems poor when compared with Multidimensional. However, with DAX, you can handle any relationship. We analyze and solve scenarios with calculated, virtual and complex many-to-many.
In this session we will look in detail into some of the features for the Power BI designer and take it for a spin and investigating some of the new capabilities it has to offer for different relationships and new DAX formulas.
Alberto will show you some common techniques to use when building a budget model with Power Pivot and Power Query, including previous year allocation, multiple-step budgeting with linked back tables, handling of budget on non-existing products
Using PowerQuery, PowerPivot, PowerView and DAX to model, analyse and win a Fantasy Formula 1 league. Guarantee yourself eternal glory as a braniac petrol head, and become a PowerBI and DAX pro in the process.
This session goes beyond the classical star schema modeling, exploring new techniques to model data with Power Pivot and SSAS Tabular. You will see how brute-force power in DAX allows different data models than those used in SSAS Multidimensional
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