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

Chapter 19. Scaling with Premium and Analysis Services

For many organizations, the deployment of Power BI entails the reporting and self-service needs of hundreds or even thousands of users, as well as massive datasets. Power BI Premium and Analysis Services are positioned to address these needs via workload-based pricing, flexible scale-up and scale-out options, and enterprise-grade semantic modeling features. Although organizations and certain projects may start out with Power BI Desktop and shared capacity in the Power BI service, the utilization of Power BI Premium capacity and optionally the migration to Analysis Services is often essential to deliver the scale, return on investment (ROI), and administrative controls of an enterprise BI platform.

This chapter begins with a review of the capabilities enabled by Power BI Premium capacities and the top considerations in provisioning this capacity. In addition to premium capacities, Azure Analysis Services (AAS) and SQL Server Analysis Services...