Chapter 4. Querying and Analyzing Data
In Chapters 1 through 3, we explained how to get data from various sources by using the Power BI Desktop application and the web-based experiences found in Microsoft Fabric. We also showed you how to transform the data that’s ingested in the entire data platform.
In this chapter, we’ll cover the topic of querying and analyzing data using the visual query editor, the T-SQL language, and the KQL script language.
First, we’ll dive into the visual query editor and show you how to use the web-based tool to alter the structure of data and analyze it from the Fabric environment. Next, we’ll jump into the T-SQL world of Fabric and show you how to leverage the well-known script language of SQL to analyze data. And finally, we’ll introduce you to the KQL language that’s used in the Real-Time Intelligence part of Microsoft Fabric.
The Visual Query Editor
The visual query editor is a tool that helps you design queries using a visual representation of the steps you take to query and analyze your data.
Note
As the name might imply, the visual query editor is not limited to mouse interactions. Although the main purpose of this tool is to ease the creation of queries using an interactive approach, you can still use your known T-SQL skills to do what you need to do when using the tool. However, there are some caveats when using T-SQL, and we’ll go into those later in this chapter.
The visual query editor is available in both the warehouse and the lakehouse ...
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