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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

AI Insights

As you learned in the previous section, Power BI integrates and takes advantage of outside tools to enhance the capabilities within itself. That continues to be the case with the AI Insights features. Leveraging the AI Insights capabilities gives you the ability to tap into core features and algorithms within Azure Cognitive Services and expose them within Power BI. So how can this be useful to you?

Imagine you work for a company that runs a vacation rentals website. Customers can book travel and post reviews of their trips on your website. With thousands of customers and hundreds of rental homes, it can be difficult to manage all the reviews that come in to make sure your locations are all meeting the standards your customers expect. With AI Insights you can run algorithms that can perform sentiment analysis, key phrase extraction, language detection, and even image tagging. So, if you have international customers that post reviews, you can use language detection to...

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