Book Image

Learn Power Query

By : Linda Foulkes, Warren Sparrow
Book Image

Learn Power Query

By: Linda Foulkes, Warren Sparrow

Overview of this book

<p>Power Query is a data connection technology that allows you to connect, combine, and refine data from multiple sources to meet your business analysis requirements. With this Power Query book, you’ll be empowered to work with a variety of data sources to create interactive reports and dashboards using Excel and Power BI. </p><p>You’ll start by learning how to access Power Query across different versions of Excel and install the Power BI engine. After you've explored Power Pivot, you’ll see why Excel users find it challenging to clean data in Power Pivot and learn how Power Query can help to tackle the problem. The book will show you how to transform data using the Query Editor and write functions in Power Query. A dedicated section will focus on functions such as IF, Index, and Modulo, and creating parameters to alter query paths in a table. You’ll also work with dashboards, get to grips with multi-dimensional reporting, and create automated reports. As you advance, you'll cover the M formula language in Power Query, delve into the basic M syntax, and write the M query language with the help of examples such as loading all library functions offline in Excel and Power BI. Finally, the book will demonstrate the difference between M and DAX and show how results are produced in M. </p><p>By the end of this book, you’ll be ready to create impressive dashboards and multi-dimensional reports in Power Query and turn data into valuable insights.</p>
Table of Contents (17 chapters)
Free Chapter
1
Section 1: Overview of Power Pivot and Power Query
6
Section 2: Power Query Data Transformations
11
Section 3: Learning M

Summary

In this final chapter of the book, you have learned all about the differences between DAX and M functionality. You will now be confident in identifying the different parts of the DAX formula syntax structure and should be knowledgeable about where to construct DAX formula in Excel, Power Query, and Power BI.

We also touched on IntelliSense, which aids in DAX formula construction, and we know about the three main types of DAX formula (which are calculated columns, calculated measures, and calculated tables). You can create a calculated column, as well as quick measures and calculated measures. You can also create folders in which to store measures in the Field list of the Power BI interface. Measures will help you construct an expression formula to calculate a result specific to a purpose, dynamically and in real-time.

We hope that you now have a wealth of knowledge after reading this book and that it has instilled a desire to learn more about this extremely powerful...