Decentralizing data and centralizing governance are practical, scalable, and modern approaches to data analytics. However, implementing a data mesh can feel like changing the engine of a moving car. Most organizations struggle to start and get caught up in the concept of data domains, spending months trying to organize domains. This is where Engineering Data Mesh in Azure Cloud can help.
The book starts by assessing your existing framework before helping you architect a practical design. As you progress, you’ll focus on the Microsoft Cloud Adoption Framework for Azure and the cloud-scale analytics framework, which will help you quickly set up a landing zone for your data mesh in the cloud.
The book also resolves common challenges related to the adoption and implementation of a data mesh faced by real customers. It touches on the concepts of data contracts and helps you build practical data contracts that work for your organization. The last part of the book covers some common architecture patterns used for modern analytics frameworks such as artificial intelligence (AI).
By the end of this book, you’ll be able to transform existing analytics frameworks into a streamlined data mesh using Microsoft Azure, thereby navigating challenges and implementing advanced architecture patterns for modern analytics workloads.
publication date
2024-03-29
what you will learn
Build a strategy to implement a data mesh in Azure Cloud
Plan your data mesh journey to build a collaborative analytics platform
Address challenges in designing, building, and managing data contracts
Get to grips with monitoring and governing a data mesh
Understand how to build a self-service portal for analytics
Design and implement a secure data mesh architecture
Resolve practical challenges related to data mesh adoption
key features
Delve into core data mesh concepts and apply them to real-world situations * Safely reassess and redesign your framework for seamless data mesh integration * Conquer practical challenges, from domain organization to building data contracts * Purchase of the print or Kindle book includes a free PDF eBook
approach
Complete with hands-on tutorials, projects and self-assessment questions, this easy-to-follow guide will teach you full project development and management, from concept through to programming and then to deployment.
audience
This book is for chief data officers and data architects of large and medium-size organizations who are struggling to maintain silos of data and analytics projects. Data architects and data engineers looking to understand data mesh and how it can help their organizations democratize data and analytics will also benefit from this book. Prior knowledge of managing centralized analytical systems, as well as experience with building data lakes, data warehouses, data pipelines, data integrations, and transformations is needed to get the most out of this book.
short description
This book will help you explore data mesh from theory to strategy, where you’ll implement this approach based on your analytics framework's maturity. You'll cover design, architecture, challenges, and common patterns for analytical workloads.
subtitle
Implement data mesh using Microsoft Azure's Cloud Adoption Framework
keywords
Data mesh, Azure cloud, Data Quality Management, Data Management, Azure Machine Learning, Databricks, Lake House Architecture, Azure Synapse Analytics, Azure Cognitive Services, Azure OpenAI, Azure Event-hub, Data analytics books, Data engineering, data warehousing, data architecture
Product ISBN
9781805120780
