Sign In Start Free Trial
Account

Add to playlist

Create a Playlist

Modal Close icon
You need to login to use this feature.
  • Book Overview & Buying The Definitive Guide to Power Query (M)
  • Table Of Contents Toc
  • Feedback & Rating feedback
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)
close
close
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)
close
close
17
Other Books You May Enjoy
18
Index

Combining and joining data

Thus far, we have been focused on accessing and retrieving data from individual data sources with minimal data transformation. However, in addition to accessing data, one of the strengths of the M language is the ability to transform and combine that data. This provides the ability to combine data from multiple sources together such as merging inventory data with sales data or combining customer data from multiple CRM systems. Therefore, we will briefly cover five basic functions that allow us to combine and merge our data together. These five functions are:

  • Table.Combine
  • Table.NestedJoin
  • Table.Join
  • Table.FuzzyNestedJoin
  • Table.FuzzyJoin

As you read this section, it will be helpful to reference Rick de Groot’s Join Types Cheat Sheet, which can be found here: https://gorilla.bi/power-query/join-types/. For ease of reference, the cheat sheet is included here:

Figure 3.13: Output of Table.NestedJoin...

Unlock full access

Continue reading for free

A Packt free trial gives you instant online access to our library of over 7000 practical eBooks and videos, constantly updated with the latest in tech
bookmark search playlist download font-size

Change the font size

margin-width

Change margin width

day-mode

Change background colour

Close icon Search
Country selected

Close icon Your notes and bookmarks

Delete Bookmark

Modal Close icon
Are you sure you want to delete it?
Cancel
Yes, Delete

Confirmation

Modal Close icon
claim successful

Buy this book with your credits?

Modal Close icon
Are you sure you want to buy this book with one of your credits?
Close
YES, BUY