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Microsoft Power BI Quick Start Guide

Microsoft Power BI Quick Start Guide

By : Devin Knight, Erin Ostrowsky, Mitchell Pearson , Bradley Schacht, Schacht
4.5 (49)
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Microsoft Power BI Quick Start Guide

Microsoft Power BI Quick Start Guide

4.5 (49)
By: Devin Knight, Erin Ostrowsky, Mitchell Pearson , Bradley Schacht, Schacht

Overview of this book

Updated with the latest features and improvements in Power BI, this fast-paced yet comprehensive guide will help you master the core concepts of data visualization quickly. You’ll learn how to install Power BI, design effective data models, and build basic dashboards and visualizations to help you make better business decisions. This new edition will also help you bridge the gap between MS Excel and Power BI. Throughout this book, you’ll learn how to obtain data from a variety of sources and clean it using the Power Query Editor. You’ll also start designing data models to navigate and explore relationships within your data and building DAX formulas to make data easier to work with. Visualizing data is a key element of this book, so there’s an emphasis on helping you get to grips with data visualization styles and enhanced digital storytelling. As you progress, you’ll start building your own dataflows, gain an understanding of the Common Data Model, and automate dataflow refreshes to eradicate data cleaning inefficiency. You’ll learn 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 know how to get the most out of Power BI for better business intelligence.
Table of Contents (13 chapters)
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11
Other Books You May Enjoy
12
Index

Data Transformation Strategies

Within any business intelligence (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 transformations, 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...

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