Engineering Data Mesh in Azure Cloud

Table of Contents

1. Introducing Data Meshes
2. Building a Data Mesh Strategy
3. Deploying a Data Mesh Using the Azure Cloud-Scale Analytics Framework
4. Building a Data Mesh Governance Framework Using Microsoft Azure Services
5. Security Architecture for Data Meshes
6. Automating Deployment through Azure Resource Manager and Azure DevOps
7. Building a Self-Service Portal for Common Data Mesh Operations
8. How to Design, Build, and Manage Data Contracts
9. Data Quality Management
10. Master Data Management
11. Monitoring and Data Observability
12. Monitoring Data Mesh Costs and Building a Cross-Charging Model
13. Understanding Data-Sharing Topologies in a Data Mesh
14. Advanced Analytics Using Azure Machine Learning, Databricks, and the Lakehouse Architecture
15. Big Data Analytics Using Azure Synapse Analytics
16. Event-Driven Analytics Using Azure Event Hubs, Azure Stream Analytics, and Azure Machine Learning
17. AI Using Azure Cognitive Services and Azure OpenAI