Book Image

Microsoft Power BI Complete Reference

By : Devin Knight, Brian Knight, Mitchell Pearson, Manuel Quintana, Brett Powell
Book Image

Microsoft Power BI Complete Reference

By: Devin Knight, Brian Knight, Mitchell Pearson, Manuel Quintana, Brett Powell

Overview of this book

Microsoft Power BI Complete Reference Guide gets you started with business intelligence by showing you how to install the Power BI toolset, design effective data models, and build basic dashboards and visualizations that make your data come to life. In this Learning Path, you will learn to create powerful interactive reports by visualizing your data and learn visualization styles, tips and tricks to bring your data to life. You will be able to administer your organization's Power BI environment to create and share dashboards. You will also be able to streamline deployment by implementing security and regular data refreshes. Next, you will delve deeper into the nuances of Power BI and handling projects. You will get acquainted with planning a Power BI project, development, and distribution of content, and deployment. You will learn to connect and extract data from various sources to create robust datasets, reports, and dashboards. Additionally, you will learn how to format reports and apply custom visuals, animation and analytics to further refine your data. By the end of this Learning Path, you will learn to implement the various Power BI tools such as on-premises gateway together along with staging and securely distributing content via apps. This Learning Path includes content from the following Packt products: • Microsoft Power BI Quick Start Guide by Devin Knight et al. • Mastering Microsoft Power BI by Brett Powell
Table of Contents (25 chapters)
Title Page
About Packt
Contributors
Preface
Index

Which should I choose?


Now that you have learned about the three different ways to connect to your data, you're left to wonder which option is best for you. It's fair to say that the choice you make will really depend on the requirements of each individual project you have. To summarize, some of the considerations that were mentioned in this chapter are listed in the following table:

Consideration

Import Data

DirectQuery

Live Connection

Best performance

X

X

Best design experience

X

Best for keeping data up-to-date

X

X

Data sources availability

X

Most scalable

 

X

X

 

 

Some of these items to consider may be more important than others to you. So, to make this more personal, try using the Decision Matrix file that is included with this book. In this file, you can rank (from 1 to 10) the importance of each of these considerations to help give you some guidance on which option is best for you.

Since the Data Import option presents the most available features, going forward, this book primarily uses this option. In Chapter 2, Data Transformation Strategies, you will learn how to implement data transformation strategies to ensure all the necessary business rules are applied to your data.