Engineering Data Mesh in Azure Cloud

Implement data mesh using Microsoft Azure's Cloud Adoption Framework

Created by Deswandikar

Discover how to design and implement a data mesh using Microsoft Azure. You'll learn to decentralize data, centralize governance, and transform your analytics framework for scalable, modern workloads. Explore practical strategies to overcome common challenges and apply proven architecture patterns.

Packt | Mar 2024 | 314 min

Start Trial

LevelExpert

CategoriesData Engineering, Data Warehousing and Big Data Processing Frameworks, Azure

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

What You Will Learn

You will assess your current analytics setup, then move step by step through designing, architecting, and deploying a data mesh in Azure. Guided by practical examples and proven frameworks, you'll tackle real challenges and apply best practices for monitoring, governance, and secure architecture.

Key Features

Apply core data mesh concepts to real Azure-based analytics environments
Redesign existing frameworks for seamless data mesh integration and governance
Solve real-world challenges from domain setup to building effective data contracts

Target Audience

Ideal for data architects, engineers, and chief data officers in medium to large organizations who already manage centralized analytics systems. If you want to break down data silos and enable collaborative, scalable analytics using Azure, and have experience with data lakes, warehouses, or pipelines, this is for you.

Related courses