Engineering Data Mesh in Azure Cloud
eBook Details:
- Paperback: 314 pages
- Publisher: WOW! eBook (March 29, 2024)
- Language: English
- ISBN-10: 1805120786
- ISBN-13: 978-1805120780
eBook Description:
Engineering Data Mesh in Azure Cloud: Implement data mesh using Microsoft Azure’s Cloud Adoption Framework. Overcome data mesh adoption challenges using the cloud-scale analytics framework and make your data analytics landscape agile and efficient by using standard architecture patterns for diverse analytical workloads.
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).
- 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
By the end of this Engineering Data Mesh in Azure Cloud 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.