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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 (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

Type detection

Your first interaction with datatypes in Power Query is likely when you import data. Your data often comes in the form of a table, and the columns for the table can have a data type. When using the default settings, Power Query automatically recognizes the data types of any tables you import. Yet, how Power Query detects the data types of the values in your dataset will depend on the data source used and your Power Query settings. There are two available methods:

  • Retrieving data types from data sources
  • Automatically detecting types

The following sections look at how these two methods work.

Retrieving data types from a data source

When you import data from a structured data source (e.g., SQL, Oracle, Azure Data Lake, OData feed, etc.), Power Query automatically accesses the table schema from these sources. This table schema is only available in structured data sources and defines the structure of tables in a database. It contains information...

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