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Microsoft Power BI Quick Start Guide

Microsoft Power BI Quick Start Guide

By : Devin Knight, Knight, Mitchell Pearson , Manuel Quintana
3.8 (10)
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Microsoft Power BI Quick Start Guide

Microsoft Power BI Quick Start Guide

3.8 (10)
By: Devin Knight, Knight, Mitchell Pearson , Manuel Quintana

Overview of this book

Microsoft Power BI is a cloud-based service that helps you easily visualize and share insights using your organization's data.This book will get you started with business intelligence using the Power BI toolset, covering essential concepts such as installation,designing effective data models, as well as building basic dashboards and visualizations to make your data come to life You will learn how to get your data the way you want – connecting to data sources sources and how to clean your data with the Power BI Query Editor. You will next learn how to properly design your data model to make your data easier to work with.. You will next learn how to properly design your data model to navigate table relationships and build DAX formulas to make your data easier to work with. Visualizing your data is another key element of this book, and you will learn how to follow proper data visualization styles and enhanced digital storytelling techniques. By the end of this book, you will understand how to administer your organization's Power BI environment so deployment can be made seamless, data refreshes can run properly, and security can be fully implemented
Table of Contents (10 chapters)
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Summary

Power BI provides users a variety of methods for connecting to data sources with natively built-in data connectors. The connector you choose for your solution will depend on where your data is located. Once you connect to a data source, you can decide on what type of query mode best suits your needs. Some connectors allow for zero latency in your results with the options of Direct Query or Live Connection. In this chapter, you learned about the benefits and disadvantages of each query mode, and you were given a method for weighting these options using a decision matrix. In the next chapter, you will learn more about how data transformations may be applied to your data import process so that incoming data will be properly cleansed.

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