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7 Commonly used DAX expressions in Power BI

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In today's blog, we will focus on making the Power BI journey more riveting in nature. We will target the Data Analysis Expressions (DAX) in Power BI. Let's get started by getting a gist of it. DAX is a sort of language in Power BI which helps to create measures, calculated columns, and customized tables by using various functions and operators. It makes the Power BI more interactive in nature which can result in better visualization. We will focus on the seven most commonly used DAX expressions in Power BI. These can vary according to your needs but according to my novice experience, these expressions prove out to be very common and nifty in nature. So let's jump to the expressions. We are using sample superstore data for every expression. Sum and SumX - As the name suggests sum is responsible to add all the values in the column. But if you spot the difference between the two the latter one is responsible for returning the sum of expressions for each row in the table. For ...
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Copying Bookmarks from one Power BI report to another

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Let's think of a scenario, where you want to copy the bookmarks from one report to another. Most obvious approach is to just do a copy paste of the bookmarks. What's wrong with this approach? This approach only works for all visuals but not for bookmarks and field parameters.  If you are not familiar with basics of bookmarks and field parameters do refer to the beginners guide for bookmarks  and introduction to field parameters . Then how do you copy the bookmarks? Power BI enhanced report format (PBIR) for Power BI Project files (PBIP) will help you in achieving this. Let's check it out, I have 2 reports one contains the bookmark called Bookmarks PBIR Test (origin) and other one is Rolling Average PBIR Test (destination) .  Before we get started, you have to enable Power BI Project save option under preview features. Once enabled, restart Power BI desktop. There is a TMDL icon appearing on the left pane. What is TMDL and what's in it for me? There's a lot of possi...
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SQL Joins

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Are you aware of the fundamentals of a Set theory which entails a critical element for our database i.e. the concept of joins? Why do we need Joins in the database? Joins are the fundamental element if you want to combine various tables using a common or related column between them. Joins are mainly used in every analytical and business intelligence tool.  Let's take a deep dive into the fundamentals of joins which is apparent by using a Venn diagram. There are mainly four types of joins- Inner, Left, Right, and Full outer join. Let's suppose we have two datasets A and B. When we focus on inner join it basically means the focus will be on the intersection or common columns present in both datasets. Similarly, the left join focuses on the dataset that is available in A and the common columns between both data sets. Right join is quite identical to left join but the main difference is it takes the data from B along with the common columns present between both data sets. Lastly, f...
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