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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

Visualizing Data Using Power BI

Power BI is a powerful Business Intelligence (BI) tool, made for data visualization, analysis, and reporting. It allows you to generate insights from data and share them with key stakeholders. Power BI is part of the Microsoft Power Platform but goes hand in hand with the Azure data services. Data often comes from Azure or is first processed in a data warehouse in Azure before being ingested into Power BI to report on.

In this chapter, we will explore the basics of Power BI, including how it works, licensing, and how to build reports. We will also go into more advanced topics, such as DevOps, security, and self-service BI.

Following that, we will dive into building reports. We will discuss how to get data into Power BI, including Import mode, DirectQuery, and real-time data. We will also explore how to prepare data using Power Query and DAX Query. Finally, we will look at how to visualize data using reports and dashboards.

After building reports...

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