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

Summary


This chapter reviewed Power BI Premium and Analysis Services as the primary means to deploy Power BI at scale and with enterprise BI tools and controls. The current and future features of Power BI Premium were described, as well as the factors to account for inefficiently provisioning and allocating premium capacity. Additionally, Analysis Services was contrasted with Power BI Desktop-based datasets to expose the features and benefits exclusive to Microsoft's enterprise BI modeling tool. Moreover, details were provided in comparing Azure Analysis Services with SSAS and in migrating a Power BI Desktop model to Analysis Services. 

Power BI Premium and Analysis Services further Microsoft's goal of providing organizations with the flexibility to deploy Power BI on their terms. Organizations can quickly scale up a self-service solution to support many users and they can also migrate self-service content to IT-owned corporate BI solutions. The common modeling engine between Power BI and...