Microsoft Power BI Quick Start Guide: Bring your data to life through data modeling,visualization,digital storytelling,and more,2nd Edition


Microsoft Power BI Quick Start Guide: Bring your data to life through data modeling,visualization,digital storytelling,and more,2nd Edition
Authors: Devin Knight
Mitchell Pearson
Bradley Schacht
Erin Ostrowsky
Published: 2020
Publisher Finelybook 出版社: Packt Publishing
ISBN-13 书号: 9781800561571
ISBN-10 书号: 1800561571


Book Description
An accessible fast paced introduction to all aspects of Power BI for new or aspiring BI professionals,data analysts and data visualizers
This revised edition has been fully updated to reflect the latest enhancements to Power BI. It includes a new chapter dedicated to dataflow,and covers all the essential concepts such as installation,designing effective data models,as well as building basic dashboards and visualizations to help you and your organization make better business decisions.
You’ll learn how to obtain data from a variety of sources and clean it using Power BI Query Editor. You’ll then find out how you can design your data model to navigate and explore relationships within it and build DAX formulas to make your data easier to work with. Visualizing your data is a key element in this book,and you’ll get to grips rapidly with data visualization styles and enhanced digital storytelling techniques.
In addition,you will acquire the skills to build your own dataflows,understand the Common Data Model,and automate data flow refreshes to eradicate data cleansing inefficiency.
This guide will help you understand 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 have a better understanding of how to get the most out of Power BI to perform effective business intelligence.

What you will learn
Connect to data sources using import and DirectQuery options
Use Query Editor for data transformation and data cleansing processes,including writing M and R scripts and dataflows to do the same in the cloud
Design optimized data models by 作者: designing relationships and DAX calculations
Design effective reports with built-in and custom visuals
Adopt Power BI Desktop and Service to implement row-level security
Administer a Power BI cloud tenant for your organization
Use built-in AI capabilities to enhance Power BI data transformation techniques
Deploy your Power BI desktop files into the Power BI Report Server

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