I’ve talked about Data Preparation many times in conferences such as PASS Summit, BA Conference, and many other conferences. Every time I talk about this I realize how much more I need to explain this. Data Preparation tips are basic, but very important. In my opinion as someone who worked with BI systems more than Read more about Data Preparation; First and Foremost Important Task in Power BI[…]
Filtering in Power Query component of Power BI is easy, however it can be misleading very easily as well. I have seen the usage of this filtering inappropriately in many cases. Many people simply believe in what they see, rather than seeing behind the scenes. Power Query filtering is totally different when you do basic Read more about Warning! Misleading Power Query Filtering[…]
I have written a lot about Power Query M scripting language, and how to create custom functions with that. With recent updates of Power BI Desktop, creating custom functions made easier and easier every month. This started with bringing Parameters few months ago, and adding source query for the function in November update of Power Read more about Custom Functions Made Easy in Power BI Desktop[…]
Power BI reports are highly interactive, If you select a column in a column chart other charts will be highlighted. Selecting a slicer value will filter all other visuals in the report. This interactivity can be controlled easily. Despite the fact that this feature has been released in early phases of Power BI, there are Read more about Visualization Tip: Change to Filter instead of highlight Control the Interaction in Power BI Report[…]
One of the sample scenarios that DAX can be used as a calculation engine is customer retention. In the area of customer retention businesses might be interested to see who there lost customers or new customers are in the specific period. Obviously this can be calculated in the Power Query or in the data source Read more about Lost Customers DAX Calculation for Power BI[…]
Have you ever thought does your Power Query Transformations happens in the data source side (server side), or on the local memory (client side)? When you use a relational data source, query can be run on the data source, but it depends on transformations. Some transformations can be translated to query language of the data Read more about Not Folding; the Black Hole of Power Query Performance[…]
In the area of performance tuning a Power BI model many things has to be considered, most of them around consumption of the CPU and RAM. One of the most basic but important consideration is minimizing the usage of memory. By default all queries from Query Editor will be loaded into the memory of Power Read more about Performance Tip for Power BI; Enable Load Sucks Memory Up[…]
The latest update of Power BI Desktop (October 2016) has many features. Two of these features are grouping and binning. These features used to create groups of items and visualize them better in the report. Previously you could do that by Power Query or DAX calculated columns, now it is all possible simply through the Read more about Grouping and Binning; Step Towards Better Data Visualization[…]
Thanks to everyone who attended at my sessions in PASS Summit 2016 this year. I have uploaded session slides here in this post with links to references inside it. Please contact me if you have any questions. It was my pleasure to speak this year for the 4th time in this conference which I believe Read more about Slides of my sessions at PASS Summit 2016[…]
This question is one of the main questions that people ask when they are at the preliminary stages of building a Power BI solutions. There is a misconception that Report is a detailed tabular report, and dashboard is interactive visualizations with chart. However this definition isn’t what Power BI reports and dashboards stands for. There Read more about Dashboard vs Report; Differences At a Glance – Power BI[…]