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Power Query Cookbook

Power Query Cookbook

By : Janicijevic
4.5 (14)
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Power Query Cookbook

Power Query Cookbook

4.5 (14)
By: Janicijevic

Overview of this book

Power Query is a data preparation tool that enables data engineers and business users to connect, reshape, enrich, and transform their data to facilitate relevant business insights and analysis. With Power Query's wide range of features, you can perform no-code transformations and complex M code functions at the same time to get the most out of your data. This Power Query book will help you to connect to data sources, achieve intuitive transformations, and get to grips with preparation practices. Starting with a general overview of Power Query and what it can do, the book advances to cover more complex topics such as M code and performance optimization. You'll learn how to extend these capabilities by gradually stepping away from the Power Query GUI and into the M programming language. Additionally, the book also shows you how to use Power Query Online within Power BI Dataflows. By the end of the book, you'll be able to leverage your source data, understand your data better, and enrich it with a full stack of no-code and custom features that you'll learn to design by yourself for your business requirements.
Table of Contents (12 chapters)
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Exploring diagnostics options

You can use the Query Diagnostics tool to carry out an assessment of your queries and the steps performed. This means that once you have created Power Query steps, you can initiate a session that records and analyzes all the steps performed before you end that session. You can record what happens at the query level or deep dive at the single-step level. In this recipe, we will see where to find the Query Diagnostics option and how to set up the environment before starting a session.

Getting ready

For this recipe, you need to download the FactInternetSales CSV file.

In this example, we will refer to the C:\Data folder.

How to do it…

Once you open your Power BI Desktop application, you are ready to perform the following steps:

  1. Click on Get data and select the Text/CSV connector.
  2. Browse to your local folder where you downloaded the FactInternetSales CSV file and open it. The following window with a preview of the data will...

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