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
Learn ready-to-use DAX patterns improving development speed of Power Pivot solutions. Good also for SSAS Tabular developers.
Alberto will start with a simple query and he will perform on stage all the necessary steps to optimize it, showing you the tools ant the techniques used to identify the bottleneck and to fix the performance issues
In this session, we will analyze the way DAX solves filtering. Starting from simple queries, we will follow the steps DAX does with the filter context, discovering the internals of the query engine of DAX.
This session looks at the most significant new functionality to be added to SSAS Multidimensional in recent years: support for the DAX language and Power View.
In this session, you will learn how to combine data from web services, tables and cubes to build a powerful model, and visualise it in Excel.
We are going to show how to compute classical time intelligence with the built-in DAX functions. Then, we will show some more complex time intelligence formulas that require to think out of the box, using advanced data modeling techniques.
SQL Server Code Name Denali Reporting Services will include Project Crescent for visualizing, interacting with and presenting data. Project Crescent. Come to this session to see how to make the most of this new tool.
Deep dive into the handling of many to many relationships in DAX. How to make them work and how to optimize their speed thorugh many patterns and live examples of M2M usage.
This talk looks at MDX and DAX, examining their similarities and differences. It won’t turn you into an expert in either but it will help you to decide, given your particular career plans, if either or both are worth learning.