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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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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

Data Warehousing

As businesses collect ever-increasing amounts of data, data warehousing has become a critical component in managing and analyzing data. Cloud-based data warehousing provides a flexible and cost-effective solution for building systems that support data analytics as well as reporting. Here, we’ll explore the fundamental concepts of data warehousing, as well as the different approaches to designing a data warehouse.

We will start by discussing the two main approaches to data warehousing: the normalized approach by Bill Inmon (Inmon, William H. (1992). Building the Data Warehouse. Boston: QED Technical Pub. Group. ISBN 0-89435-404-3. OCLC 24846118) and the dimensional approach by Ralph Kimball (Ralph Kimball and Margy Ross (26 April 2002). The Data Warehouse Toolkit: The Complete Guide to Dimensional Modeling (Second ed.). Wiley. ISBN 0-471-20024-7). Inmon’s approach emphasizes the importance of data integration and consistency, while Kimball’s...

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