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The Definitive Guide to Power Query (M)

You're reading from  The Definitive Guide to Power Query (M)

Product type Book
Published in Mar 2024
Publisher Packt
ISBN-13 9781835089729
Pages 758 pages
Edition 1st Edition
Languages
Authors (3):
Gregory Deckler Gregory Deckler
Profile icon Gregory Deckler
Rick de Groot Rick de Groot
Profile icon Rick de Groot
Melissa de Korte Melissa de Korte
Profile icon Melissa de Korte
View More author details

Table of Contents (19) Chapters

Preface Introducing M Working with Power Query/M Accessing and Combining Data Understanding Values and Expressions Understanding Data Types Structured Values Conceptualizing M Working with Nested Structures Parameters and Custom Functions Dealing with Dates, Times, and Durations Comparers, Replacers, Combiners, and Splitters Handling Errors and Debugging Iteration and Recursion Troublesome Data Patterns Optimizing Performance Enabling Extensions Other Books You May Enjoy
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...

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