Packt+ | Advance your knowledge in tech

0

Explore Products

Best Sellers

New Releases

Books

Videos

Audiobooks

Free Learning

Microsoft Power BI Complete Reference

You're reading from Microsoft Power BI Complete Reference Bring your data to life with the powerful features of Microsoft Power BI

Product type Course

Published in Dec 2018

Publisher Packt

ISBN-13 9781789950045

Length 794 pages

Edition 1st Edition

Tools

Power BI

Concepts

Business Intelligence

Authors (5):

Brett Powell

Mitchell Pearson

Brian Knight

Devin Knight

Manuel Quintana

+1 more

View More author details

Table of Contents (25) Chapters

Title Page

About Packt

Contributors

Preface

1. Getting Started with Importing Data Options FREE CHAPTER

2. Data Transformation Strategies

3. Building the Data Model

4. Leveraging DAX

5. Visualizing Data

6. Using a Cloud Deployment with the Power BI Service

7. Planning Power BI Projects

8. Connecting to Sources and Transforming Data with M

9. Designing Import and DirectQuery Data Models

10. Developing DAX Measures and Security Roles

11. Creating and Formatting Power BI Reports

12. Applying Custom Visuals, Animation, and Analytics

13. Designing Power BI Dashboards and Architectures

14. Managing Application Workspaces and Content

15. Managing the On-Premises Data Gateway

16. Deploying the Power BI Report Server

17. Creating Power BI Apps and Content Distribution

18. Administering Power BI for an Organization

19. Scaling with Premium and Analysis Services

1. Other Books You May Enjoy

Leave a review - let other readers know what you think

Index

Summary

In this chapter, we focused on how to configure visuals and what data they best illustrate. We also saw a couple of the most common formatting options that are used with these visuals. In the next chapter, we will look into the concept of digital storytelling. Power BI has a strong set of options that we can leverage to allow users to experience and navigate through the data in an adventurous and exploratory manner.

The rest of the chapter is locked

Register for a free Packt account to unlock a world of extra content!

A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.

Unlock this book and the full library FREE for 7 days

Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of

Start free trial

Renews at $19.99/month. Cancel anytime

Authors (5)

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.

See other products by Devin Knight

Brett Powell

Brett Powell

Brett Powell is the owner of and business intelligence consultant at Frontline Analytics LLC, a data and analytics research and consulting firm and Microsoft Power BI partner. He has worked with Power BI technologies since they were first introduced as the PowerPivot add-in for Excel 2010 and has been a Power BI architect and lead BI consultant for organizations across the retail, manufacturing, and financial services industries. Additionally, Brett has led Boston's Power BI User Group, delivered presentations at technology events such as Power BI World Tour, and maintains the popular Insight Quest Microsoft BI blog.

See other products by Brett Powell

Manuel Quintana

Manuel Quintana

Manuel Quintana is a Training Content Manager at Pragmatic Works. Previously he was senior manager working in the hotel industry. He joined the Pragmatic Works team in 2014 with no knowledge in the Business Intelligence space but now speaks at SQL Saturday's and SQL Server User Groups locally and virtually. He also teaches various BI technologies to many different fortune 500 companies on behalf of Pragmatic Works. Since 2014 he has called Jacksonville home and before that Orlando but he was born on the island of Puerto Rico and loves to go back and visit his family. When he isn't working on creating new content for Pragmatic Works you can probably find him playing board games or watching competitive soccer matches.

See other products by Manuel Quintana

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

See other products by Mitchell Pearson

Brian Knight

Brian Knight

Brian Knight is the owner and founder of Pragmatic Works, and is a serial entrepreneur, starting up other companies. Brian is a contributing columnist at several technical magazines. He is the author of 16 technical books. Brian has spoken at conferences like PASS Summit, SQL Connections, TechEd, SQLSaturdays, and Code Camps. He has received a number of awards from the State of Florida, governor, and press, including the Business Ambassador Award (Governor) and Top CEO (Jacksonville Magazine). His blog can be found at Pragmatic Works website.

See other products by Brian Knight

Personalised recommendations for you

Based on your interests and search pattern

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m