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The Complete Power BI Interview Guide

You're reading from   The Complete Power BI Interview Guide A modern approach to acing the data analyst interview and landing your dream job

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Product type Paperback
Published in Apr 2024
Publisher Packt
ISBN-13 9781805120674
Length 482 pages
Edition 1st Edition
Languages
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Authors (3):
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Sandielly Ortega Polanco Sandielly Ortega Polanco
Author Profile Icon Sandielly Ortega Polanco
Sandielly Ortega Polanco
Gogula Aryalingam Gogula Aryalingam
Author Profile Icon Gogula Aryalingam
Gogula Aryalingam
Abu Bakar Nisar Alvi Abu Bakar Nisar Alvi
Author Profile Icon Abu Bakar Nisar Alvi
Abu Bakar Nisar Alvi
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Toc

Table of Contents (19) Chapters Close

Preface 1. Part 1:Getting Your First Interview
2. Chapter 1: Exposing Your Profile FREE CHAPTER 3. Chapter 2: Support Skills for Power BI Developers 4. Part 2: Beyond the Borders of Power BI
5. Chapter 3: The Power BI Workflow 6. Chapter 4: Data Analysis with Power BI 7. Chapter 5: Preparing, Transforming, and Modeling Data 8. Chapter 6: Exploring, Visualizing, and Sharing Data and Deploying Solutions 9. Chapter 7: DAX Programming 10. Chapter 8: Expert Report Building 11. Chapter 9: Effective Data Storytelling 12. Chapter 10: Using Dashboards and Apps and Implementing Security 13. Part 3: The Final Stretch – Preparing for the HR Round and Beyond
14. Chapter 11: Understanding the HR Interview Process and Preparing for Success 15. Chapter 12: Tips for Negotiating Salary and Benefits 16. Chapter 13: Best Practices for Accepting and Rejecting Job Offers – Onboarding and Beyond 17. Index 18. Other Books You May Enjoy

Basic aggregation functions

Although one of the goals of data warehousing is to bring the data in the most aggregated and organized form possible, it is necessary to have functions within the BI tool that allow you to aggregate the data in various ways. DAX has several aggregate functions, such as the SUM function that you saw a few sections ago. This function sums all the values in a column.

Similarly, the MAX, MIN, COUNT, and AVERAGE functions are used to obtain the maximum, minimum, count, and average values, respectively. Each of these functions has a different tolerance for certain types of data, and it is important to know their particularities because you will have to use at least one of them in your day-to-day work as a data analyst.

Using MAX and MIN

In the following measure, you can see one of the ways you can use the MAX or MIN function. In this case, two values are passed to the function to obtain the greater of the two, and in this example, the result would be...

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