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Power Query Cookbook

You're reading from Power Query Cookbook Use effective and powerful queries in Power BI Desktop and Dataflows to prepare and transform your data

Product type Paperback

Published in Oct 2021

Publisher Packt

ISBN-13 9781800569485

Length 412 pages

Edition 1st Edition

Languages

Power Query

Tools

Power BI

Concepts

Data Science

Author (1):

Andrea Janicijevic

View More author details

Table of Contents (12) Chapters

Preface

1. Chapter 1: Getting Started with Power Query

2. Chapter 2: Connecting to Fetch Data FREE CHAPTER

3. Chapter 3: Data Exploration in Power Query

4. Chapter 4: Reshaping Your Data

5. Chapter 5: Combining Queries for Efficiency

6. Chapter 6: Optimizing Power Query Performance

7. Chapter 7: Leveraging the M Language

8. Chapter 8: Adding Value to Your Data

9. Chapter 9: Performance Tuning with Power BI Dataflows

10. Chapter 10: Implementing Query Diagnostics

11. Other Books You May Enjoy

Chapter 10: Implementing Query Diagnostics

Every transformation and data preparation step that you do has an impact on your performance when you develop Power Query transformations. You can analyze and test your queries to observe the consequences while refreshing your data and iteratively applying Power Query steps in Power BI Desktop.

In this chapter, we will see how to best use a built-in feature called Query Diagnostics, in order to easily retrieve relevant data on Power Query performance. In particular, we will go through the following recipes:

Exploring diagnostics options
Managing a diagnostics session
Designing a report with diagnostics results
Using Diagnose as a Power Query step

The rest of the chapter is locked

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Authors (1)

Janicijevic

Janicijevic

Andrea Janicijevic is a cloud solution architect and works in the world of analytics and business intelligence, constantly expanding her knowledge in the field of data. From the outset, she has been working on analytics platforms, helping clients to better adopt cloud technology across a wide range of industries and company sizes. She studied economics and management of innovation and technology at Bocconi University in Milan and during her studies, she started working at Microsoft in 2018. She began working with the Microsoft analytics platform, including Power BI, becoming a trusted technical advisor for business and technical users. She later started collaborating with Packt, accepting the challenge of sharing her experience with Power Query.

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