In this video, I look at object numbers, and try to figure out how much they still matter….
Now that we can apply custom format strings to fields and measures in Power BI in the September 2019 release, I thought it would be useful to provide some examples of what’s possible with this very flexible new feature because the existing documentation for VBA isn’t easy to make sense of. In fact there’s so much to say I’m going to have to write a series of blog posts to cover everything! In this first post I’m going to look at formatting numbers.
When dealing with Number Series where the Intercompany Documents are created automatically using the code, using standard number series generation Codeunits cause problems. In this blog, I’ll be explaining why this issue is caused and how to resolve such issues.
Vjeko, wrote some very good posts about the bad performance of COUNT function used in Microsoft Dynamics NAV. You can check them out at the end of this post.
COUNT function can be used in NAV to find out how many records with certain filters you have in the database.
Let’s take a simple example and check also what happens at SQL Server queries level when you use COUNT vs when you use a NAV Query:
This is a very short post! A lot of people have blogged about how to convert numbers between different bases in M (see for example Maxim Zelensky’s very elegant solution for converting from binary to decimal), but today I noticed there was a very easy way to convert a decimal number to hexadecimal using the Number.ToText() function: you just need to use “x” in the second parameter.
I got my haircut today (pretty spiffy one too, even if I do say so myself). While I was chatting I asked my hair dresser “on average, how often should I get my hair cut”? She told me (for men) around 4-6 weeks. Then I got thinking (as I do), I wonder if I could data-mine my credit card data using Power BI and find out how often I actually get my own hair cut. It turns out I was able to do this, and this article explains the hardest part of that task – find the number of days between two transaction dates using DAX.