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

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

Chapter 1: Introducing Data Meshes

Chapter 2: Building a Data Mesh Strategy

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

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

Chapter 5: Security Architecture for Data Meshes

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

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

Part 2: Practical Challenges of Implementing a Data Mesh

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

Chapter 9: Data Quality Management

Chapter 10: Master Data Management

Chapter 11: Monitoring and Data Observability

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

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

Part 3: Popular Data Product Architectures

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

Chapter 15: Big Data Analytics Using Azure Synapse Analytics

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

Chapter 17: AI Using Azure Cognitive Services and Azure OpenAI

Index

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