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  • Book Overview & Buying The Definitive Guide to Power Query (M)
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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 (35)
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The Definitive Guide to Power Query (M)

The Definitive Guide to Power Query (M)

4.8 (35)
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. *Email sign-up and proof of purchase required
Table of Contents (19 chapters)
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17
Other Books You May Enjoy
18
Index

Splitters

On the other hand, splitters perform the task of dividing a single text value into multiple distinct components. Whether separating full names into first and last names or dissecting a complete address into individual elements, they can break a string apart into more granular pieces. This principle is also relevant in transformation scenarios where previously merged column values need to be separated. Splitters provide a means to reverse the merging process, separating values back into their original distinct components at a subsequent stage in the data transformation process.

In the Power Query M language, splitters are used to separate a string into a list of text values based on a specific delimiter or pattern. These are often utilized by higher-order standard library functions such as Table.SplitColumn, which is designed to divide a single column into multiple columns or rows. This is a common operation frequently used when handling strings that require parsing or...

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