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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
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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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Table of Contents (13) Chapters Close

Preface 1. Gaining Data Literacy with Power BI FREE CHAPTER 2. Connecting to Data 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

Composite models

Occasionally, you may find it helpful for your data model to take a hybrid approach regarding how it stores data. For example, you want sales transactions to be displayed in near real time on your dashboard, so you set your SalesTransaction table to use DirectQuery. However, your Product table rarely has values that are added or changed. Having values that do not change often makes it a great candidate for the imported data storage method to take advantage of the performance benefits.

This describes a perfect scenario for utilizing a feature called composite models. Composite models allow a single Power BI solution to include both DirectQuery and import table connections within one data model. From the Power BI developer’s perspective, you can take advantage of the best parts of each data storage mode within your design.

Another effective use case for composite models is found when using the feature called aggregations. Leveraging aggregations...

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