I have written previously about the use cases of Dataflow in Power BI, and one of them was using one Power Query table in multiple Power BI reports. However, I that article just covered the surface, and I still see many solutions duplicating Power Query scripts in multiple files which brings a lot of inconsistency Read more about Move Your Shared Tables to Dataflow; Build a Consistent Table in Power BI[…]
I have previously written about relationships and the cardinality of the relationship. Now is a good time to explain the two types of tables we deal with every day in a reporting data model; Fact and Dimension table. In this article, I will explain what a Dimension table is, and examples of it, and how Read more about Basics of Modeling in Power BI: What is a Dimension Table and Why Say No to a Single Big Table[…]
Power Query has more than 80 data sources supported, and Microsoft Exchange is one of those data sources. Although it is not a new data source, however, the power of this data source combined with the data transformation power of Power Query is not clear for everyone. Using this data source, you can get all Read more about Import Email Attachments Directly Into a Power BI Report using Power Query[…]
In the previous article, you learned the basics of relationships, you learned why we need a relationship, and what is the filtering impact of it across multiple tables. In this article, you will learn about one of the most important properties of a relationship called Cardinality. Understanding what the meaning is of 1-1, 1-Many, Many-1 Read more about Many-to-One or Many-to-Many? The Cardinality of Power BI Relationship Demystified[…]
There are tons of articles about advanced tips of Power BI modeling such as advanced DAX, and context transition. However, based on my experience with our clients, I realized there is a big gap in basic content. Hence, this article is going to cover the basic essentials of the relationship. Tips such as: What is Read more about Back to Basics: Power BI Relationship Demystified[…]
There is always a discussion on how to store back the data from Power BI to local computer or SQL Server Databases, in this short blog, I will show how to do it by writing R scripts inside Power Query. First how to Store Files to PC To store data back to a file Read more about Export data from Power Query to Local Machine or SQL Server using R scripts[…]
Does it take a long time to get your data refreshed in your Power BI model? Should you wait for hours for the refresh to finish because you have complex transformations behind the scene? Does the long refresh time make it hard for you to develop your solution? The good news I have for you Read more about How to Use Dataflow to Make the Refresh of Power BI Solution FASTER![…]
In the first part of this series, you learned how to create an exception reporting for a column in a table using Power Query in Power BI. In the second part, you learned how to initiate that process for all columns in a table. This article continues the section one of creating exception reporting for Read more about Exception Reporting in Power Query and Power BI; Part 2 Catching Error Rows for All Columns in the Table Section 2[…]
In this post, I am going to demonstrate a new visualization that has been released by the AI team in Power BI in recent months. Before showing off the nice features, there are some key points about this visual. http://datascientistyuyuria.blogspot.com/2017/06/ It can be used by Data sciences, Data engineer and End users. It is easy Read more about Applied more Analytics on your data with Key Influencer Visualization[…]
Previously, I have written about using Power Query transformations and functions to create an Exception report for Power BI. However, the method I mentioned there, was only doing the exception handling based on one column. In this article, I’m explaining how to do exception reporting for all columns in the entire table. There are a Read more about Exception Reporting in Power Query and Power BI; Part 2 Catching Error Rows for All Columns in the Table Section 1[…]