Book Image

Microsoft Power BI Quick Start Guide - Second Edition

By : Devin Knight, Mitchell Pearson, Bradley Schacht, Erin Ostrowsky
Book Image

Microsoft Power BI Quick Start Guide - Second Edition

By: Devin Knight, Mitchell Pearson, Bradley Schacht, Erin Ostrowsky

Overview of this book

This revised edition has been fully updated to reflect the latest enhancements to Power BI. It includes a new chapter dedicated to dataflow, and covers all the essential concepts such as installation, designing effective data models, as well as building basic dashboards and visualizations to help you and your organization make better business decisions. You’ll learn how to obtain data from a variety of sources and clean it using Power BI Query Editor. You’ll then find out how you can design your data model to navigate and explore relationships within it and build DAX formulas to make your data easier to work with. Visualizing your data is a key element in this book, and you’ll get to grips rapidly with data visualization styles and enhanced digital storytelling techniques. In addition, you will acquire the skills to build your own dataflows, understand the Common Data Model, and automate data flow refreshes to eradicate data cleansing inefficiency. This guide will help you understand how to administer your organization's Power BI environment so that deployment can be made seamless, data refreshes can run properly, and security can be fully implemented. By the end of this Power BI book, you’ll have a better understanding of how to get the most out of Power BI to perform effective business intelligence.
Table of Contents (12 chapters)
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Data Transformation Strategies

Within any BI project, it is essential that the data you are working with has been properly scrubbed to ensure accurate results on your reports and dashboards. Applying data cleansing business rules, also known as transforms, is the primary method for correcting inaccurate or malformed data, but the process can often be the most time-consuming part of any corporate BI solution. However, the data transformation capabilities built into Power BI are both very powerful and user-friendly. Using the Power Query Editor, tasks that would typically be difficult or time-consuming in an enterprise BI tool are as simple as right-clicking on a column and selecting the appropriate transform for the field. While interacting with the user interface, the Power Query Editor automatically writes queries using a language called M behind the scenes.

Through the course of this chapter, you will explore some of the most common features of the Power Query Editor that make it so highly regarded by its users. Since one sample dataset cannot provide all the problems you will run into, you will be provided with several small, disparate examples to show you what is possible. This chapter will detail the following topics:

  • The Power Query Editor
  • Transform basics
  • Advanced data transformation options
  • Leveraging R
  • AI Insights
  • The M formula language

To get started, let's get familiar with the interface known as the Power Query Editor.