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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

Summary

In this chapter, we covered the topics of dates, times, dates and times, time zones and durations. The majority of the functions dealing with these data types were covered, and we explored some practical applications of using these functions, including Melissa de Korte’s famous Extended Date Table, the creation of functions for converting between Gregorian dates and Julian days, and handling alternate date formats. We also covered examples of calculating the number of working days between two dates and how to calculate a moving average. With respect to time, we demonstrated the creation of a time dimension table at both the minute and second level of granularity and how to classify time into first, second, and third shifts. Dates and times were also covered and included an example for correcting data refresh times. Finally, durations were discussed, with examples of calculating work duration and converting work days to durations.

In the next chapter, we continue...

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