9/7/2023 0 Comments Cody tabular data![]() That is about 8,009 years, which makes almost 3 Million rows in the default date table. The minimum value in that column is 1st of Jan 1990, and the maximum value is 31st of Dec 9999! Wow, the maximum value changes everything isn’t? This means that in the date dimension we will have all days (one day per row) from 1st of Jan 1990 to 31st of Dec 9999. Values in that date table would be from the minimum date value in that field (column) to the maximum date value, with one row for each day. ![]() ![]() Which we call it the default date dimension table. This now means that the Date field in our sample table, is not just a field, but it is a table. Power BI creates a default date dimension for every single date field in your dataset. There are a few parts of the previous paragraph that you need to read more carefully: Well, this was a very quick wrap of the article below (which you can read to get a more in-depth understanding of it) However, having the default date dimension will make many of date calculations simpler and easier, and that is why many people are using it that way. There is an option to disable the default date dimension if you want and create your own date dimension. For understanding the current behavior mentioned in this article, you need to know what is the default date dimension and how it works. I have previously written about the default date dimension in Power BI and the difference of that with a custom date dimension. taking 150MB runtime memory! This is considering that we have only three distinct values in the column! Seems a bit strange, isn’t? let’s dig into the reason more in deep. I opened the file above in Power BI Helper, and in the Modeling Advise tab, this is what I see:Īs you can see in the above output, the Date field in the Date table is the biggest column in this dataset. ![]() You can download Power BI Helper for free from here. If you have a large *.pbix file, you can investigate what are the columns and tables that causing the highest storage consumption, using Power BI Helper. Now let’s see why this happens and how to fix it. You can try it yourself, and you would probably get the same experience. However, when I save the *.pbix file, the size of the file seems a bit crazy! This is not a big table at all as you can see. I have a sample dataset, with one table, and three rows! as below If you like to learn more about Power BI, read the Power BI book from Rookie to Rock Star. I have run into this many times in my consulting gigs with clients, However, a friend of mine Rui Romano’s ( B| T) great presentation made me think that there are still many people who are not aware of this, and need guidance on it, so time to write about it then. ![]() Sometimes, your model size grows significantly big, and you have no idea why!? In this article, I will show you one of the performance issues which might cause because of specific date values, and how to fix it. A minimum set of information needs to be provided before a record can be saved.I have written about Date Dimension in Power BI in many posts, and it makes sense now to explain one of the most common performance challenges that I see in some of the models. You should provide all of the information requested insofar as it is available to you. However, it is essential information for the department to be able to uniquely identify an individual and in a small number of cases conduct checks to confirm their suitability for this important and influential role. The information requested says nothing in itself about a person's suitability to govern. It will enable schools and the department to identify more quickly and accurately individuals who are involved in governance, and who govern in more than one context. This will increase the transparency of governance arrangements. All maintained school governing bodies and academy trusts have a legal duty to provide all of the governance information requested on this page in so far as it is available to them. ![]()
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