MSSQLTips.com’s Post

Today's Tip - How to Slice Data by Fiscal Month using DAX for Power BI Reports In this article, learn how to set the current fiscal month identity in a calendar table using DAX for Power BI when dealing with fiscal periods. Author: Aigbe Omorodion >>> https://lnkd.in/etV-SNAJ #sql #sqlserver #microsoftsqlserver #mssql #mssqlserver #powerbi #calendar

Today's Tip - How to Slice Data by Fiscal Month using DAX for Power BI Reports In this article, learn how to set the current fiscal month identity in a calendar table using DAX for Power BI when dealing with fiscal periods. Author: Aigbe Omorodion >>> https://lnkd.in/eC_6tUtC #sql #sqlserver #microsoftsqlserver #mssql #mssqlserver #powerbi #dax #calendar

Today's Tip - How to Slice Data by Fiscal Month using DAX for Power BI Reports In this article, learn how to set the current fiscal month identity in a calendar table using DAX for Power BI when dealing with fiscal periods. Author: Aigbe Omorodion >>> https://lnkd.in/etV-SNAJ #sql #sqlserver #microsoftsqlserver #mssql #mssqlserver #powerbi #dax #calendar

🚀 Exciting News! Just published an article on PowerTechTips.com exploring how to seamlessly convert numeric values into dates in Power BI! Check it out here: https://lnkd.in/g5SNZf4c 🗓️ Master the art of transforming numerical data into meaningful date formats using DAX expressions. Your thoughts and feedback are highly appreciated. Dive into the article and let's discuss! #PowerBI #DataAnalysis #DateConversion #PowerTechTips

📚 Power BI Best Practices - Building Date/Calendar Table 🔗 https://lnkd.in/eJgKXiDf For more: https://lnkd.in/ejnrivFC #PowerBiMasterclass #PowerBI #DataVisualization #dataviz #DataAnalytics #DataScience #BusinessIntelligence

Creating Date Dimensions in PowerBi 🚀 There are three common methods for creating a date dimension. 1. The first is hosting a date dimension in the data warehouse. This allows you to easily update and share date dimensions with other services. However, this requires direct access to a database. 2. Alternatively, you could store a date dimension in a text file. Power BI's support for text files is great, but the downside is that you'll need to create and update this text file manually. 3. Thirdly, you can create a date dimension using DAX. This allows for full customisation over what will be in the date dimension, and doesn't require external preparations. The downside is that you'll need to know how to write custom code, but once you've got the hang of it, this is a very powerful option. #datamodeling #powerbi #dataanalytics

🚀 🔉 As you might know, it's key to have a calendar table in your Power BI models, especially if you perform time intelligence calculations. There are three different ways to create one: in the source by using SQL, with Power Query, and with DAX code. In terms of performance, it's recommended to create a calendar table in the source and then import it to Power BI Desktop. However, not all companies have the capability of building global calendar tables in their databases. The second option could be to use Power Query. It gives you more flexibility to make changes with the Power Query editor. Finally, DAX is also an option to create a customized calendar table, However, DAX columns don't compress as well as the previous 2 methods. Which option do you use to create your calendar tables in Power BI? 1, 2, or 3? More tips? Follow us 👇 YouTube Channel 🔗 https://lnkd.in/ekus9_m Instagram 🔗 https://lnkd.in/dnJqbEAC X 🔗 https://lnkd.in/ethKzMWc Facebook 🔗 https://lnkd.in/ezuxz4cQ Source: https://lnkd.in/ebApc4WW #QuipuAnalytics #PowerBI #DAX #nestoradrianzen

Hello everyone, #day11 Today's topics are the difference between Import and Direct query connection mode from Power BI and the difference between a Subquery and a Join. Let's start! 📌Power BI Q. What is the difference between Import and Direct query connection mode? Ans: Import Mode: The extraction of data from the database and storing it locally on our local machine is called import mode. There is a 1 GB limit for the data we want to publish to the Power BI Service. It is fast and performance is better compared to other connection modes. Direct Query Mode: Leaves data in the database and sends the queries to pull the information needed. The data view section is removed from the report. No limit on the data as we have 'live' data, performance issues are the main concern, and we have limited DAX function for work upon. 📌SQL Q. What is the difference between a subquery and a join? A subquery is a query nested within another query, whereas a join is used to combine rows from two or more tables based on related columns. #powerbi #powerbideveloper #dataanalytics #dataanalysis #data #interviewquestions #interviewpreparation #dashboard #reports

One more feature in Power BI 📢 : you can now write DAX queries with the DAX query view for the web from published semantic models in the workspace. 🚀 In Power BI, DAX formulas are used to define various types of calculations, such as measures or calculated columns. DAX queries, on the other hand, can be used to retrieve data from the semantic model. DAX queries are similar to SQL queries in that they can display your data based on specified columns and aggregations. 📊 For DAX queries, this includes the measures already defined in your model, and you can define additional query-scoped measures if needed. 🔍 Navigate to this link for more information. 🌐 https://lnkd.in/eMqPU5wt #PowerBI #DAX #DataAnalytics #BusinessIntelligence

🚀 Exciting Update for Power BI Users! 🚀 Power BI powerful new feature: DAX Query View for Web is now available for published semantic models in your workspace! 🌐📊 With this new capability, you can now write and execute DAX queries directly from the web interface. This feature allows you to dive deeper into your data by leveraging DAX queries, which are similar to SQL queries but specifically designed for Power BI's semantic models. What’s New? Execute DAX Queries: Run DAX queries to retrieve data from your semantic models. This includes using predefined measures and creating new query-scoped measures as needed. Enhanced Data Exploration: Group and aggregate your data with precision, just like you would with SQL, but within the Power BI environment. Seamless Integration: Enjoy a unified experience by managing and querying your data models from the web, improving your workflow and efficiency. This feature empowers you to explore your data with greater flexibility and control. Dive into the details and start optimizing your data exploration today! #PowerBI #DAX #DataAnalysis #BusinessIntelligence #NewFeature #DataModeling