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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

Determining how the data will be used

The aforementioned data types are stored in either a data lake or a database. How the data will be used will determine in which service the data needs to be stored.

As described in the previous chapters, a data lake is a centralized repository that allows data to be stored in its raw format without the need for predefined schemas. Data lakes are often used for big data and analytics workloads, as they enable storing and processing large amounts of data from various sources in a flexible way.

A database, on the other hand, can store structured (and, in some cases, semi-structured) data that is organized in a specific way, typically with a defined schema and defined relationships between the data. This form of organization makes it easy to search, sort, and manipulate the data, and is often used for transactional workloads.

Relational databases

Structured data is often stored and queried using relational databases. These databases utilize...

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