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Data Mesh

Principles and Logical Architecture

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Data Mesh

Written by: Alex Campbell
Narrated by: Isaac Piotrowski
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About this listen

Gain a broader understanding of Data Mesh and logical architecture.

Have you ever asked yourself why you need to learn about Data Mesh?

What is their use in our daily life?

Have you ever wondered what the logical architecture is for a data mesh?

Your data is like a mesh. It's everywhere, and it's connected.

This book will help you understand the root causes of this problem and how to solve them using today's most advanced techniques in data management.

It is a book about the structure of a data mesh. It defines data mesh, how it works, and why you might want to use it.

This book was written for anyone who wants to learn more about this technology. Whether you're an engineer or developer working with a data mesh, someone who's just curious about how they work, or an entrepreneur looking at ways to improve your company's efficiency or productivity—this book will help you understand what these technologies are all about!

In this book, you will:

  • Learn the Data Mesh, its state, and its future
  • Learn about the practical uses of Data Mesh
  • Get background knowledge about Data Mesh with concrete examples
  • Master Domain Ownership Principle
  • Discover the principle behind the self-serve data platform
  • Learn about the federated computational government principle
  • Discover the point of inflection
  • Master the logical architecture

Data Mesh is not just a framework; it's an approach to data modeling that emphasizes simplicity, clarity, and scalability. This book will teach you how to use Data Mesh to build a logical architecture that scales.

Don't wait another second; click the “Add to Cart” button now, and the possibilities are endless!

©2022 Alex Campbell (P)2022 Alex Campbell
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No more Robots!

Narration: Pleasant, clear, not monotone, but very robotic. I buy audiobooks so that I can learn while doing active tasks. That goal fails when a robot is used for narration. The clarity of robotic voices may have reached exceptional levels, but they do not understand the subject manner and hence can not add meaningful inflection. The application of tonal variation to emulate inflection is not the same thing. Without meaningful inflection, the narration fails to convey the informational content. Everytime I listen to one of these robotic narrations, I find that I zone out within a few minutes of listening to it. The learning goal fails, and I find myself feeling that I have wasted both my time and money.

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