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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

Combining data

Although the process of extracting and combining data may seem straightforward at a glance, it can quickly turn into a complex and demanding task. The level of complexity largely depends on the characteristics of the data and its organization. From the perspective of this section, it’s important to understand that by combining data we mean an append operation, typically seen when consolidating files.

In the real world, data often originates from various sources and is managed by multiple users, which complicates maintaining consistency across all files. Excel workbooks, in particular, is a very common format, as Excel is used extensively across many industries for numerous data-related tasks.

In this section, we’ll delve into techniques and strategies to overcome challenges commonly faced when working with multiple Excel files. While some are specific to the nature of Excel, others are more generic and applicable across different scenarios.

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