Havens Consulting
Video by: Reid Havens
Part one of two of my videos on creating a Power Query Calendar Table. In this video we’ll see two methods for creating either a dynamic or relative date range for a calendar table created in the Power Query Editor.
Part Two: Creating a Dynamic Range Calendar Table in Power Query
Video by: Reid Havens
I've improved my time intelligence slicer based on some feedback about a DAX error related to blank dates being evaluated. In this video we'll see how to avoid that plus also prevent any circular dependency errors as well!
Part 1: Creating MTD/QTD/YTD Filters
Part 2: Applying USERELATIONSHIP Function
Part 3: Additional Date Periods
Part 4: Fiscal Periods
Video by: Reid Havens
Learn how to create a composite model against a Power BI dataset, also known as (DirectQuery for Power BI datasets and Azure Analysis Services) or DQFPBIDAAS for short. 😅
Composite Models against a Power BI Dataset allows you to import tables from other data sources and combine it with your Power BI dataset.
Splitting a Report & Model
DirectQuery for Power BI datasets and Azure Analysis Services
The popularity of Power BI has increased dramatically in the past few years. I am seeing an increasing number of enterprise customers who built complex composite models combining import tables with DirectQuery tables. Many users have asked questions on how DAX queries and measures are translated into remote SQL/MDX/DAX queries. To the surprise of a lot of people who have a SQL background, the semantics of DAX queries is very different from that of SQL queries even though both are used to produce the right data for the same visualizations. I am going to explain why the semantics of DAX queries poses unique challenges to DAX engine and how the latter employs myriads of optimizations to deliver good query performance in common scenarios. I am also going to explain how the semantics of DAX queries complicates query generations for composite models, demonstrate some of the issues most frequently encountered by the composite model users, and describe design principles to avoid the pitfalls.
Jeffrey joined Microsoft SQL Server Analysis Services team in 2004 and contributed to the revolutionary transformation of Microsoft BI from multi-dimensional model and MDX language to tabular model and DAX language. He was one of the inventors of the DAX programming language in 2009 and have been driving the evolution of the DAX language ever since. Currently he is an engineering manager focusing on the development of DAX engine, query optimizer, DirectQuery, composite models, etc. Right now his team is putting the finishing touches on the GA of DirectQuery to PowerBI datasets.
Signup for our mailing list to gain access to Power BI files and templates from the videos. You’ll receive a welcome email with a link and password to the Blog Files page.
Reid Havens’ early love affair with analytics has, over the past decade, turned into an evolution into data visualization and report design in Power BI.
Since then Reid has been writing articles and creating YouTube videos to share the word of BI, helping to inspire the next generation of Business Intelligence enthusiasts.
