You're reading from Engineering Data Mesh in Azure Cloud

Product type Book

Published in Mar 2024

Publisher Packt

ISBN-13 9781805120780

Pages 314 pages

Edition 1st Edition

Languages

Concepts

Data Science

Author (1):

Aniruddha Deswandikar

Table of Contents (23) Chapters

Preface

1. Part 1: Rolling Out the Data Mesh in the Azure Cloud

2. Chapter 1: Introducing Data Meshes

3. Chapter 2: Building a Data Mesh Strategy

4. Chapter 3: Deploying a Data Mesh Using the Azure Cloud-Scale Analytics Framework

5. Chapter 4: Building a Data Mesh Governance Framework Using Microsoft Azure Services

6. Chapter 5: Security Architecture for Data Meshes

7. Chapter 6: Automating Deployment through Azure Resource Manager and Azure DevOps

8. Chapter 7: Building a Self-Service Portal for Common Data Mesh Operations

9. Part 2: Practical Challenges of Implementing a Data Mesh

10. Chapter 8: How to Design, Build, and Manage Data Contracts

11. Chapter 9: Data Quality Management

12. Chapter 10: Master Data Management

13. Chapter 11: Monitoring and Data Observability

14. Chapter 12: Monitoring Data Mesh Costs and Building a Cross-Charging Model

15. Chapter 13: Understanding Data-Sharing Topologies in a Data Mesh

16. Part 3: Popular Data Product Architectures

17. Chapter 14: Advanced Analytics Using Azure Machine Learning, Databricks, and the Lakehouse Architecture

18. Chapter 15: Big Data Analytics Using Azure Synapse Analytics

19. Chapter 16: Event-Driven Analytics Using Azure Event Hubs, Azure Stream Analytics, and Azure Machine Learning

20. Chapter 17: AI Using Azure Cognitive Services and Azure OpenAI

21. Index

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Allocating costs to different data product groups and domains

Azure cloud environments can become very complex, irrespective of whether you implement a data mesh or not. Large and medium-sized organizations can easily grow into many subscriptions housing thousands of resources. Managing and maintaining these resources can be a huge challenge. To ease the job of the cloud ITOps teams, Azure has a concept called tags. Whenever you create an Azure resource in the cloud, it will offer you an option to create some tags for this resource. You will see a Tags section in most Azure resource creation wizards, as shown in Figure 12.6:

Figure 12.6 – Tags section in the Create SQL Database wizard

Tags can be changed, and new tags can be added after creating a resource too. Figure 12.7 shows the Tags menu option on the resource page of the Azure portal: