Category: Learning Summits

Building Data Dimensions In Power BI

Build Other Data Dimensions in Power BI

In today’s blog post, I want to discuss how you can build additional data dimensions in Power BI. These dimensions can help you filter your data in different ways. On top of that, these dimensions can help you come up with intuitive visualizations later on. This is also the reason why you need to set

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Active And Inactive Data Relationships In Power BI

Active And Inactive Data Relationships

Previously, I discussed the importance of data model relationships in Power BI. I also introduced the one-to-many and many-to-one relationships. Now, I’ll teach you about the difference between active and inactive data relationships. These are important concepts that you need to be familiar with in data modelling. In this example, you can see that the

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Building Your Data Model Relationships In Power BI

Building Your Data Model Relationships

In today’s tutorial, I want to highlight how important it is to build your data model relationships correctly. Data modelling is one of the foundations of your Power BI report so it’s necessary to set it up correctly. Previously, I discussed some techniques that can help you manage your model right. One of them is

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Techniques To Manage Your Data Model In Power BI

Techniques To Manage Your Data Model in Power BI

For this tutorial, I want to discuss techniques in managing the relationships between the tables inside your data model. There are a lot of things that you need to remember to make your data model work effectively inside Power BI. It’s important to create a well-developed data model to help you communicate your business information

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Best Practices For Transforming Data In The Query Editor

When you transform your data inside the Query Editor, there are important practices that you need to implement to get the best experience. These are simple tips that can have a big impact on your reports and visualizations. It includes the things that people often take for granted but are essential in getting high-quality analysis

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