1/25/2024 0 Comments Tagflow vs tables![]() But all my blog posts up until now used different terminology, so there will be two immediate consequences: See, half a year later, when new terminology settles in, everyone will be searching for “CDS tables…” in google. ![]() I know it’s there, but I’m staying cool.Īlthough, on a more personal level, this change may affect me, and not in the best way. In that sense, it seems I almost became immune to the renaming virus. Although, of course, in this new terminology we will likely always have to add “well, it’s not quite the same table you’d have in SQL. If it’s easier to call it Table when discussing these concepts with new clients/developers, so be it. There is “Entity” class in the SDK, but, realistically, it should have been called EntityInstance. It is vague to the point where even XRM SDK has it wrong. It’s not a table, it’s not a view… it’s some combination of metadata and business logic. But the concept is rather vague to be honest. As long as this is what Microsoft will be using these days, I’m fine with that”įor example, in case with entities and tables, we’ve all got used to “entities” over the years. If anyone tells me they don’t like new names, I’m just going to say “it’s not worse or better than it used to be.I don’t know the reasons behind renaming (other than vague references to the users feedback etc).One thing is certain – they did happen in the past, they keep happening, and they will be happening in the future.Īnd I just think I reached the point where it does not matter to me what the name is, since: Sometimes, those changes are successful, and, sometimes, they are not. Quite frankly, we should all get used, by now, to all those changes in the product names and/or in the terminology around Microsoft products. Well, am I thrilled about it? Am I concerned about it? Unpivoting Columns in Calculated Power BI TableĬumulative Count of Rows in Power BI Tableįor more Power BI tables support queries to review see here….You have probably heard that Entities are Tables now? If not, have a look here: How To Understand Virtual Tables Inside Iterating Functions In Power BI – DAX Concepts Power BI Advanced Analytics: Secondary Table Logic Techniques There’s still a lot of interesting confusion and issues regarding these tables, especially virtual tables and debugging virtual table measures. The Enterprise DNA team is working on more content to help you work with Power BI easily and efficiently.Ĭheck out our website and the links below for more related content.Ĭreating A Date Table In Power BI The Fastest Way Possible Understanding the different types of Power BI tables and their distinctions is key in using Power BI effectively. This is a fairly straightforward blog post about the topic, and I hope you see clearly the difference between physical tables, calculated tables, and virtual tables. Watch the full video tutorial and find out the differences between these tables and see how that influences the way you handle them. This tutorial discusses these three tables and their distinctions. ![]() To make it easy for you to understand and see the difference between these tables, I’ll share with you this Enterprise DNA tutorial made by one of our experts. And then, the analogy to measures are the true virtual tables, which are created in the context of measures through the DAX Measure Code. The one that often gets confused with the virtual table is this calculated table or what we can also refer to as a DAX expression table. ![]() The first one is the most common, which is the physical table. This table is really your primary data. There are three types of tables that we find regularly in Power BI. I see many cases where Power BI users would say they’re having trouble with a virtual table when it’s not a virtual table they’re dealing with in the first place. It’s important to know the distinctions between Power BI tables. We run into tables all the time on every problem we have in Power BI, but we don’t really spend time thinking about tables in of themselves. And so, I thought it would be great to dedicate a post to Power BI tables.
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