Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
The Definitive Guide to Power Query (M)

You're reading from   The Definitive Guide to Power Query (M) Mastering complex data transformation with Power Query

Arrow left icon
Product type Paperback
Published in Mar 2024
Publisher Packt
ISBN-13 9781835089729
Length 758 pages
Edition 1st Edition
Languages
Arrow right icon
Authors (3):
Arrow left icon
Greg Deckler Greg Deckler
Author Profile Icon Greg Deckler
Greg Deckler
Melissa de Korte Melissa de Korte
Author Profile Icon Melissa de Korte
Melissa de Korte
Rick de Groot Rick de Groot
Author Profile Icon Rick de Groot
Rick de Groot
Arrow right icon
View More author details
Toc

Table of Contents (19) Chapters Close

Preface 1. Introducing M FREE CHAPTER 2. Working with Power Query/M 3. Accessing and Combining Data 4. Understanding Values and Expressions 5. Understanding Data Types 6. Structured Values 7. Conceptualizing M 8. Working with Nested Structures 9. Parameters and Custom Functions 10. Dealing with Dates, Times, and Durations 11. Comparers, Replacers, Combiners, and Splitters 12. Handling Errors and Debugging 13. Iteration and Recursion 14. Troublesome Data Patterns 15. Optimizing Performance 16. Enabling Extensions 17. Other Books You May Enjoy
18. Index

The formula firewall

When working with queries, combining different data sources is common. It’s likely that after some fiddling you run into an error that prevents you from combining your data. This error is the result of the formula firewall that Power Query has, also known as the data privacy firewall. So, what exactly is the formula firewall, and how can you work with it?

What is the formula firewall?

The formula firewall is a Power Query feature that prevents accidental data transfer between sources. This feature is particularly important when dealing with sensitive information. It was designed because of query folding. Query folding allows Power Query to convert data transformations into a data source query that a data source can execute directly.

Imagine a situation where you’re working with two queries in Power Query. Query1 holds sensitive information, like social security numbers. Using an inner join, you aim to use this data to extract relevant...

lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $19.99/month. Cancel anytime
Banner background image