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Data Mesh: Principles and Logical Architecture

2 Puan

1.5

Süre
1sa 45dk
Dil
İngilizce
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Kategori

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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 (Sesli Kitap): 9798822604254

Yayın tarihi

Sesli Kitap: 23 Ekim 2022

Bunları da beğenebilirsin...

  1. Data Mesh: What Is Data Mesh? Principles of Data Mesh Architecture Brian Murray
  2. Data Mesh: Comprehensive Guide on How to Become Truly Data-Driven Alex Campbell
  3. Fundamentals of Data Engineering: Plan and Build Robust Data Systems Matt Housley
  4. Data as a Product: How to Provide the Data That the Company Needs Brian Murray
  5. Data as a Product: A Comprehensive Guide on How to Use the Full Value of Data Alex Campbell
  6. Data Management Introbooks Team
  7. Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us About Who We Really Are Seth Stephens-Davidowitz
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  9. Data Mining and Analytics: Ultimate Guide to the Basics of Data Mining, Analytics and Metrics Alex Campbell
  10. Big Data, Big Analytics: Emerging Business Intelligence and Analytic Trends for Today's Businesses Michele Chambers
  11. Streaming Data Mesh: A Model for Optimizing Real-Time Data Services Hubert Dulay
  12. Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems Martin Kleppmann
  13. Data Analysis Introbooks Team
  14. Big Data, Little Data, No Data: Scholarship in the Networked World Christine L. Borgman
  15. Data Mesh: A Comprehensive Guide to Modern Data Architecture Brian Paul
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  18. Big Data Analytics: Turning Big Data into Big Money Frank J. Ohlhorst
  19. Data Engineering: Analyzing Big Data and Modern Data Phil Gilberts
  20. Data Modeling and Design Essentials: A Beginner's Guide Sam Campbell
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  22. Computational Thinking Peter J. Denning
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  24. Database Internals: A Deep Dive into How Distributed Data Systems Work, 1st Edition Alex Petrov
  25. Data Mesh: Delivering Data-Driven Value at Scale Zhamak Dehghani
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