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Engineering Data Mesh in Azure Cloud
Engineering Data Mesh in Azure Cloud

Engineering Data Mesh in Azure Cloud: Implement data mesh using Microsoft Azure's Cloud Adoption Framework

By Aniruddha Deswandikar
$39.99 $27.98
Book Mar 2024 314 pages 1st Edition
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$39.99 $27.98
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eBook
$39.99 $27.98
Print
$49.99
Subscription
$15.99 Monthly

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Product Details


Publication date : Mar 29, 2024
Length 314 pages
Edition : 1st Edition
Language : English
ISBN-13 : 9781805120780
Category :
Concepts :
Table of content icon View table of contents Preview book icon Preview Book

Engineering Data Mesh in Azure Cloud

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

Part 1 starts with the theory of the data mesh architecture as described by Zhamak Dehghani in her original whitepaper (https://www.thoughtworks.com/insights/whitepapers/the-data-mesh-shift) and maps it to Microsoft Azure’s Well-Architected Framework, Cloud Adoption Framework, and cloud-scale analytics framework. Crossing this chasm is difficult for companies. This section will make it easier to understand the theory and apply it to your Microsoft Azure-based analytical systems. Whether you already have an existing central analytical system that you wish to migrate to a data mesh architecture or you are building an analytical system from the ground up, this part of the book will help you pave the way forward to adopt the data mesh architecture on Microsoft Azure.

This part has the following chapters:

  • 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
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Key benefits

  • 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

Description

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.

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

What do you get with eBook?

Product feature icon Instant access to your Digital eBook purchase
Product feature icon Download this book in EPUB and PDF formats
Product feature icon Access this title in our online reader with advanced features
Product feature icon DRM FREE - Read whenever, wherever and however you want
Buy Now

Product Details


Publication date : Mar 29, 2024
Length 314 pages
Edition : 1st Edition
Language : English
ISBN-13 : 9781805120780
Category :
Concepts :

Table of Contents

23 Chapters
Preface Chevron down icon Chevron up icon
Part 1: Rolling Out the Data Mesh in the Azure Cloud Chevron down icon Chevron up icon
Chapter 1: Introducing Data Meshes Chevron down icon Chevron up icon
Chapter 2: Building a Data Mesh Strategy Chevron down icon Chevron up icon
Chapter 3: Deploying a Data Mesh Using the Azure Cloud-Scale Analytics Framework Chevron down icon Chevron up icon
Chapter 4: Building a Data Mesh Governance Framework Using Microsoft Azure Services Chevron down icon Chevron up icon
Chapter 5: Security Architecture for Data Meshes Chevron down icon Chevron up icon
Chapter 6: Automating Deployment through Azure Resource Manager and Azure DevOps Chevron down icon Chevron up icon
Chapter 7: Building a Self-Service Portal for Common Data Mesh Operations Chevron down icon Chevron up icon
Part 2: Practical Challenges of Implementing a Data Mesh Chevron down icon Chevron up icon
Chapter 8: How to Design, Build, and Manage Data Contracts Chevron down icon Chevron up icon
Chapter 9: Data Quality Management Chevron down icon Chevron up icon
Chapter 10: Master Data Management Chevron down icon Chevron up icon
Chapter 11: Monitoring and Data Observability Chevron down icon Chevron up icon
Chapter 12: Monitoring Data Mesh Costs and Building a Cross-Charging Model Chevron down icon Chevron up icon
Chapter 13: Understanding Data-Sharing Topologies in a Data Mesh Chevron down icon Chevron up icon
Part 3: Popular Data Product Architectures Chevron down icon Chevron up icon
Chapter 14: Advanced Analytics Using Azure Machine Learning, Databricks, and the Lakehouse Architecture Chevron down icon Chevron up icon
Chapter 15: Big Data Analytics Using Azure Synapse Analytics Chevron down icon Chevron up icon
Chapter 16: Event-Driven Analytics Using Azure Event Hubs, Azure Stream Analytics, and Azure Machine Learning Chevron down icon Chevron up icon
Chapter 17: AI Using Azure Cognitive Services and Azure OpenAI Chevron down icon Chevron up icon
Index Chevron down icon Chevron up icon
Other Books You May Enjoy Chevron down icon Chevron up icon

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