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Microsoft Power BI Quick Start Guide: Bring your data to life through data modeling, visualization, digital storytelling, and more, 2nd Edition
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About Microsoft Power BI Quick Start Guide: Bring Your
Product Description An accessible fast paced introduction to all aspects of Power BI for new or aspiring BI professionals, data analysts, and data visualizers Key Features Updated with the latest features in Power BI including Dataflow, AI insights, visuals and row level security Get faster and more intuitive data insights using Microsoft Power BI and its business intelligence capabilities Build accurate analytical models, reports, and dashboards Book Description 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 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 Who this book is for Aspiring business intelligence professionals who want to learn Power BI will find this book useful. If you have a basic understanding of BI concepts and want to learn how to apply them using Microsoft Power BI, this book is for you. Table of Contents Getting Started with Importing Data Options Data Transformation Strategies Building the Data Model Leveraging DAX Visualizing Data Digital Storytelling with Power BI Using a Cloud Deployment with the Power BI Service Data Cleansing in the Cloud with Dataflows On-Premises Solutions with Power BI Report Server Review "As adoption of Power BI as a data analytics platform continues to grow, information workers are increasingly asked to leverage its capabilities to deliver insights for their organization. For those who are new to Power BI, this book serves to familiarize the reader with core technologies and features within each layer of the platform from data acquisition and transformation to modeling to visualization and distribution." -- Brett Powell, Owner and BI Consultant at Frontline Analytics About the Author Devin Knight a Microsoft Data Platform MVP and the President at Pragmatic Works Training. At Pragmatic Works, Devin determines which courses are created, delivered, and updated for customers, including 15+ Power BI courses. This is the tenth SQL Server and Business Intelligence book that he has authored. Devin often speaks at conferences such as PASS Summit, PASS Business Analytics Conference, SQL Saturdays, and Code Camps. He is also a contributing member t
