Power BI gives you the ability to use a wide variety of data sources in your data visualization project. This walkthrough shows you how to access files in a Azure Data Lake and import them into a Power BI data models.
Power BI lacks the ability to add KPI calculations when creating a data model in Power BI Desktop. I will show you how to get the same functionality by using the recently released feature “Conditional Formatting by a Different Field”. This will allow you to take a calculated score and have an Icon displayed for each row in your table. A working Live Interactive Power BI Sample is attached at the bottom of this post.
It is easy to look at Power BI dashboards as static, but you can use some old school techniques to provide the ability the generate dynamic content using data-driven global settings that will be available to all your report developers. These techniques will allow your published reports to remain unchanged but allow the reports to dynamically reflect default information shown to the user, such as Current Month, Report Comments and even a time stamp of the last data source update.
An often overlooked, yet powerful feature of Power BI allows you to publish a report to a website using an embed code. This puts the report and underlying data out for everyone who has access to that web page. The sample page below shows a sample book I published for a training session. The following how-to will walk you through will the steps leverage this feature on your site.
The best place to start when learning to develop Power BI solutions is to review the logical architecture your Data Visualization projects will have. There are many moving parts and pieces to a Power BI solution, especially when looking at the varied data sources you can use. From on-premises to web-based, from public to confidential, you must make sure you expose your data securely. Having a good clear architecture will help you achieve a not only a good solution but also a secure one. The following article will show you how you can architect your own solution.
One of the challenges for users with Power BI is being able to use a data source that you can update and flow those changes to your Power BI dashboards and reports. Using an Excel file in OneDrive for Business allows you to have multiple users update data, connect to a data source and schedule an automated refresh without having a lot of infrastructure. The following walkthrough will show you how you can leverage this feature for your own solution.
As companies move data workloads to the cloud, more and more resources are available online to help you get up to speed. The following learning map provides a path to these online resources not only to give you an overview but also to provide an experience of these technologies .
I needed to quickly create a calculation that tested for the presence of a string in another column's text values. There are two ways to solve this, but the first one is an interesting example that you can use in several situations. This solution plays on the true-false values of the DAX IF function in PowerBI.
PowerBI has the ability to mashup data from different sources; this may introduce problems when joining or matching data between systems. I was able to get around this issue by leveraging an R script from an article in the community. As a consultant there is a rule that if you use something from the community, you need to give back and particularly if you use it twice, you have to write a blog post. This is such a post.