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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

Transforming Data on Azure

Azure offers a wide range of services for data processing. One of the key features of Azure is its ability to easily transform data from various sources into a format that is suitable for further analysis and reporting.

In this chapter, we will discuss the following:

  • Designing data pipelines on Azure
  • Transforming data on Azure
  • Data transformation architectures
  • Data transformations in data lake tiers
  • Operationalizing data pipelines on Azure

This chapter will introduce the various tools and services available on Azure for data transformation, including Azure Data Factory, (ADF) Azure Stream Analytics, and Azure Databricks. We will explore the core features and capabilities of each service, and show in which scenarios they work best. In line with the previous chapter, the focus will be put on both batch processing and real-time processing.

Next, we will look at some example architectures and provide a quick guide on how to...

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