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The Definitive Guide to Power Query (M)

The Definitive Guide to Power Query (M)

By : Greg Deckler, Rick de Groot, Melissa de Korte
4.8 (39)
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The Definitive Guide to Power Query (M)

The Definitive Guide to Power Query (M)

4.8 (39)
By: Greg Deckler, Rick de Groot, Melissa de Korte

Overview of this book

Data transformation is a critical step in building data models and business intelligence reports. Power Query is an invaluable tool for anyone who wants to master data transformation, and this book will equip you with the knowledge and skills to make the most of it. The Definitive Guide to Power Query (M) will help you build a solid foundation in the Power Query M language. As you progress through the chapters, you'll learn how to use that knowledge to implement advanced concepts and data transformations. This will set the stage for an uncompromisingly thorough exploration of the Power Query M Language. You'll also get to grips with optimizing performance, handling errors, and implementing efficient data processing techniques. As this is a hands-on guide, the practical examples in the chapters will help you gain the skills to apply Power Query to real-world problems and improve your data analysis capabilities. By the end of this book, you will be able to leverage all of Power Query's remarkable capabilities for data transformation.
Table of Contents (19 chapters)
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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...

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