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• Get comprehensive coverage of fundamental and advanced Power Query concepts
• Gain hands-on experience with practical examples based on real-world problems
• Delve into the intricacies of Power Query M language for enhanced data manipulation

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 before going on a no-compromise 'deep dive' into 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

• Gain a strong understanding of Power query fundamentals
• Master various functions within Power Query to perform complex data operations
• Acquire knowledge about values, types, and control structures in Power Query
• Develop proficiency in error handling techniques
• Learn performance optimization strategies for Power Query
• Apply what you've learned to real-world scenarios, including common troublesome patterns

This book is for business analysts, business intelligence professionals, and power business users working with data who want to add Power Query mastery to their resume. This book will be beneficial for anyone who wants to automate their process of data cleaning and save huge amount of time. Having some basic experience in Power Query is recommended.

1. Introducing M
2. Working with Power Query/M
3. Accessing and Combining Data
4. Understanding Values and Expressions
5. Understanding Data Types
6. Structured Values
7. Conceptualizing M
8. Working with Nested Structures
9. Parameters and Custom Functions
10. Dealing with Dates, Times, and Durations
11. Comparers, Replacers, Combiners, and Splitters
12. Handling Errors and Debugging
13. Iteration and Recursion
14. Troublesome Data Patterns
15. Optimizing Performance
16. Enabling Extensions