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Azure Data and AI Architect Handbook

You're reading from   Azure Data and AI Architect Handbook Adopt a structured approach to designing data and AI solutions at scale on Microsoft Azure

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Product type Paperback
Published in Jul 2023
Publisher Packt
ISBN-13 9781803234861
Length 284 pages
Edition 1st Edition
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Authors (2):
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Olivier Mertens Olivier Mertens
Author Profile Icon Olivier Mertens
Olivier Mertens
Breght Van Baelen Breght Van Baelen
Author Profile Icon Breght Van Baelen
Breght Van Baelen
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Toc

Table of Contents (18) Chapters Close

Preface 1. Part 1: Introduction to Azure Data Architect
2. Chapter 1: Introduction to Data Architectures FREE CHAPTER 3. Chapter 2: Preparing for Cloud Adoption 4. Part 2: Data Engineering on Azure
5. Chapter 3: Ingesting Data into the Cloud 6. Chapter 4: Transforming Data on Azure 7. Chapter 5: Storing Data for Consumption 8. Part 3: Data Warehousing and Analytics
9. Chapter 6: Data Warehousing 10. Chapter 7: The Semantic Layer 11. Chapter 8: Visualizing Data Using Power BI 12. Chapter 9: Advanced Analytics Using AI 13. Part 4: Data Security, Governance, and Compliance
14. Chapter 10: Enterprise-Level Data Governance and Compliance 15. Chapter 11: Introduction to Data Security 16. Index 17. Other Books You May Enjoy

Choosing the right license and pricing

Licenses are required to publish content for sharing and collaborating with other users and consume shared content. Power BI licensing comes in three flavors: Pro License, Premium Per User License, and Premium Per Capacity license. All prices mentioned are in US dollars.

Figure 8.4 – Power BI pricing (in USD)

Figure 8.4 – Power BI pricing (in USD)

Please refer to https://powerbi.microsoft.com/en-us/pricing/ for up-to-date pricing.

The Pro License is a per-user license and costs $10 per user/month. This license allows you to publish content to a workspace other than My workspace to share and collaborate with other licensed users. It also allows you to consume shared content. The shared content is hosted on a shared capacity, meaning that some limitations will apply to the resource usage. For example, the data model can’t be bigger than 1 GB (after compression with Vertipaq), the dataset can’t be refreshed more than eight times per...

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