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Microsoft Power BI Quick Start Guide

You're reading from Microsoft Power BI Quick Start Guide Bring your data to life through data modeling, visualization, digital storytelling, and more

Product type Paperback

Published in Oct 2020

Publisher Packt

ISBN-13 9781800561571

Length 296 pages

Edition 2nd Edition

Languages

Python

Tools

Power BI

Concepts

Machine Learning

Authors (4):

Bradley Schacht

Devin Knight

Erin Ostrowsky

Mitchell Pearson

View More author details

Table of Contents (12) Chapters

Preface

1. Getting Started with Importing Data Options

2. Data Transformation Strategies FREE CHAPTER

3. Building the Data Model

4. Leveraging DAX

5. Visualizing Data

6. Digital Storytelling with Power BI

7. Using a Cloud Deployment with the Power BI Service

8. Data Cleansing in the Cloud with Dataflows

9. On-Premises Solutions with Power BI Report Server

10. Other Books You May Enjoy

11. Index

Summary

Being able to use the features discussed in this chapter effectively will turn interactive reports into dynamic digital storytelling tools. Report developers have a wide variety of tools at their disposal to tell exciting stories from using space more efficiently by creating toggles, empowering users to drill through to gain detail level insights, adding value by enhancing the built-in tooltips, or calling out important views with bookmarks. In the next chapter, you will see how to take this completed Power BI report and share it with others.

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Authors (4)

Erin Ostrowsky

Erin Ostrowsky

Erin Ostrowsky is a creative and passionate lifelong learner. She began her career as a business journalist and researcher and found herself drawn to the power of beautifully visualized data analysis. After living overseas, Erin returned to the USA looking to marry her communication background with a technical focus and found a life changing opportunity to work as a trainer for Pragmatic Works where she focused on creating new educational materials and delivering Power BI training around the country. Erin focuses on the Power Platform tools and loves working on teams to build business intelligence solutions that businesses use and enjoy.

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Devin Knight

Devin Knight

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 to several PASS Virtual Chapters. Making his home in Jacksonville, FL, Devin is a contributor at the local Power BI User Group.

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Schacht

Schacht

Bradley Schacht is a principal program manager on the Microsoft Fabric product team based in Saint Augustine, Florida. Bradley is a former consultant and trainer and has co-authored five books on SQL Server and Power BI. As a member of the Microsoft Fabric product team, Bradley works directly with customers to solve some of their most complex data problems and helps shape the future of Microsoft Fabric. Bradley gives back to the community by speaking at events, such as the PASS Summit, SQL Saturday, Code Camp, and user groups across the country, including locally at the Jacksonville SQL Server User Group (JSSUG). He is a contributor on SQLServerCentral and blogs on his personal site, BradleySchacht.

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Mitchell Pearson

Mitchell Pearson

Mitchell Pearson has worked as a Data Platform Consultant and Trainer for the last 8 years. Mitchell has authored books on SQL Server, Power BI and the Power Platform. Data Platform experience includes designing and implementing enterprise level Business Intelligence solutions with the Microsoft SQL Server stack (T-SQL, SSIS, SSAS, SSRS), the Power Platform and Microsoft Azure. Mitchell is very active in the community: Running the local Power BI User Group, presenting at user groups locally and virtually, and creating YouTube videos for MitchellSQL

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