(In this blog post/tutorial, we will use a database called “Event Sales”, which you can download here. If you wish to follow along, you will need to download and UnZip the .BAK file, then use it to restore the EventSales database on an instance of SQL Server.) When connecting to a relational database from Power…
Power BI, the popular business intelligence tool by Microsoft, offers a wide range of features and capabilities to help organizations make sense of their data. Among the many powerful functionalities, Power BI Relationships stand out as a key aspect for unleashing the true potential of data analysis. In this article, we will explore the intricacies of Power BI Relationships, their significance, and how they can be effectively leveraged to enhance your data analysis capabilities.
Power BI is a business analytics service provided by Microsoft that enables users to analyze data and share insights. Power Query is a data connection technology that allows you to import and transform data from various sources. Snowflake is a cloud-based data warehousing platform that provides scalable data storage and processing capabilities. In this article, we will discuss Power Query M Language code for connecting to the Snowflake data source from inside Power BI.
To obtain your MCSA: BI Reporting you need to pass two exams: 70-778 (Analyzing and Visualizing Data with Power BI) and 70-779 (Analyzing and Visualizing Data with Excel). However, there is a huge overlap between the two exams resulting from the common BI features found in both Power BI and Excel: namely data modelling using…
Power BI is a powerful data visualization tool that allows users to create interactive dashboards and reports. It provides a wide range of connectors for various data sources. However, if you are working with a data source that is not natively supported by Power BI, you can use Power Query M language to connect to it.
Power BI has revolutionized the way organizations analyze and visualize data. One of the key aspects of creating impactful Power BI reports and dashboards lies in the ability to filter data effectively. Filtering allows users to focus on specific subsets of data, providing valuable insights and driving informed decision-making. In this article, we will explore the art of filtering in Power BI, with a particular emphasis on advanced techniques for working with related tables.