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Microsoft Power BI Quick Start Guide

You're reading from   Microsoft Power BI Quick Start Guide The ultimate beginner's guide to data modeling, visualization, digital storytelling, and more

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Product type Paperback
Published in Nov 2022
Publisher Packt
ISBN-13 9781804613498
Length 330 pages
Edition 3rd Edition
Languages
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Authors (4):
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Mitchell Pearson Mitchell Pearson
Author Profile Icon Mitchell Pearson
Mitchell Pearson
Devin Knight Devin Knight
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Devin Knight
Bradley Schacht Bradley Schacht
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Bradley Schacht
Erin Ostrowsky Erin Ostrowsky
Author Profile Icon Erin Ostrowsky
Erin Ostrowsky
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Toc

Table of Contents (13) Chapters Close

Preface 1. Gaining Data Literacy with Power BI 2. Connecting to Data FREE CHAPTER 3. Data Transformation Strategies 4. Building the Data Model 5. Leveraging DAX 6. Visualizing Data 7. Digital Storytelling with Power BI 8. Using a Cloud Deployment with the Power BI Service 9. Data Cleansing in the Cloud with Dataflows 10. On-Premises Solutions with Power BI Report Server 11. Other Books You May Enjoy
12. Index

Improving data model performance

Data model performance can be measured in two ways within Power BI, query performance and processing performance. Query performance is how quickly results are returned by visualizations and reports. Processing performance is a measure of how long it takes to perform a data refresh on the underlying dataset. Data model performance as a whole is very important and the Power BI developer should always be aware of how design decisions may affect performance today or in the future. A deep dive into performance is out of the scope of this book, but an overview is provided here.

Query performance

As you learned in Chapter 2, Connecting to Data, there are multiple ways that you can connect to data in Power BI. For example, you can import data, use DirectQuery, use a live connection, or you can use a combination of import and direct queries with the composite model.

Data model design methodologies

Data models in Power BI are specifically designed...

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