Explore Products

Best Sellers

New Releases

Books

Videos

Audiobooks

Free Learning

Microsoft Power BI Cookbook

You're reading from Microsoft Power BI Cookbook Convert raw data into business insights with updated techniques, use cases, and best practices

Product type Paperback

Published in Jul 2024

Publisher Packt

ISBN-13 9781835464274

Length 598 pages

Edition 3rd Edition

Languages

DAX

Tools

Power BI

Concepts

Business Intelligence

Authors (2):

Greg Deckler

Brett Powell

View More author details

Table of Contents (16) Chapters

Preface

1. Installing and Licensing Power BI Tools

2. Accessing, Retrieving, and Transforming Data FREE CHAPTER

3. Building a Power BI Semantic Model

4. Authoring Power BI Reports

5. Working in the Power BI Service

6. Getting Serious About Date Intelligence

7. Parameterizing Power BI Solutions

8. Implementing Dynamic User-Based Visibility in Power BI

9. Applying Advanced Analytics and Custom Visuals

10. Enhancing and Optimizing Existing Power BI Solutions

11. Deploying and Distributing Power BI Content

12. Integrating Power BI with Other Applications

13. Working with Premium and Microsoft Fabric

14. Other Books You May Enjoy

15. Index

Technical Requirements

It is assumed that the reader has access to a Power BI Pro or Premium Per User (PPU) license, the rights to download and install the development tools on their machine, and the necessary access and rights to deploy and manage content in the Power BI service and utilize the Power BI mobile applications. In addition, the following are required to complete the recipes in this chapter:

A Windows PC running Windows 10 or Windows 11
At least 10 GB of disk space available; the Power BI Desktop download is up to 600 MB in size and the installed application is over 1.5 GB

Additionally, the Microsoft on-premises data gateway requires the following:

A Microsoft account
.NET Framework 4.7.2 (a gateway release from December 2020 or earlier)
.NET Framework 4.8 (a gateway release February 2021 or later)
A 64-bit version of Windows 10 or later, or a 64-bit version of Windows Server 2012 R2 or later
4 GB of disk space for performance monitoring logs (in the default configuration)

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 (2)

Greg Deckler

Greg Deckler

Greg Deckler is a 7-time Microsoft MVP for Data Platform and an active blogger and Power BI community member, having written over 6,000 solutions to community questions. Greg has authored many books on Power BI, including Learn Power BI 1st and 2nd Editions, DAX Cookbook, Power BI Cookbook 2nd Edition and Mastering Power BI 2nd Edition. Greg has also created several external tools for Power BI and regularly posts video content to his YouTube channels, Microsoft Hates Greg and DAX For Humans.

See other products by Greg Deckler

Powell

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 Powell

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