Data Mesh
Vincent Berry
In "Data Mesh: A Comprehensive Guide to Decentralized Data Architecture," readers are introduced to a transformative approach to data management that challenges conventional centralized systems. This essential guide delves into the principles and practices of Data Mesh, advocating for a paradigm shift towards a domain-oriented, decentralized data architecture. This book is meticulously designed for data architects, CTOs, data engineers, and any professionals involved in data-intensive industries who seek to overcome the limitations of traditional data management and unlock greater flexibility and scalability.
The guide starts with a thorough introduction to the core concepts of Data Mesh, including its four foundational pillars: domain-oriented decentralization of data ownership, data as a product, self-serve data infrastructure, and computational governance. Each section not only explains the theoretical aspects but also illustrates practical implementations through case studies and real-world scenarios, providing readers with a clear pathway to adopting Data Mesh in their organizations.
Further chapters are dedicated to the technical implementations of Data Mesh, detailing the technological stack and strategies required to support a scalable and efficient decentralized data architecture. The book also addresses common challenges and pitfalls, offering expert advice on navigating cultural shifts, integrating legacy systems, and maintaining data interoperability.
"Data Mesh: A Comprehensive Guide to Decentralized Data Architecture" also explores the future prospects of Data Mesh, including its role in leveraging artificial intelligence and machine learning within a decentralized framework. It outlines how Data Mesh can drive innovation, enhance data security, and improve data compliance in a rapidly evolving digital landscape.
Duration - 4h 23m.
Author - Vincent Berry.
Narrator - Ray Collins.
Published Date - Wednesday, 15 January 2025.
Copyright - © 2025 Vincent Berry ©.
Location:
United States
Description:
In "Data Mesh: A Comprehensive Guide to Decentralized Data Architecture," readers are introduced to a transformative approach to data management that challenges conventional centralized systems. This essential guide delves into the principles and practices of Data Mesh, advocating for a paradigm shift towards a domain-oriented, decentralized data architecture. This book is meticulously designed for data architects, CTOs, data engineers, and any professionals involved in data-intensive industries who seek to overcome the limitations of traditional data management and unlock greater flexibility and scalability. The guide starts with a thorough introduction to the core concepts of Data Mesh, including its four foundational pillars: domain-oriented decentralization of data ownership, data as a product, self-serve data infrastructure, and computational governance. Each section not only explains the theoretical aspects but also illustrates practical implementations through case studies and real-world scenarios, providing readers with a clear pathway to adopting Data Mesh in their organizations. Further chapters are dedicated to the technical implementations of Data Mesh, detailing the technological stack and strategies required to support a scalable and efficient decentralized data architecture. The book also addresses common challenges and pitfalls, offering expert advice on navigating cultural shifts, integrating legacy systems, and maintaining data interoperability. "Data Mesh: A Comprehensive Guide to Decentralized Data Architecture" also explores the future prospects of Data Mesh, including its role in leveraging artificial intelligence and machine learning within a decentralized framework. It outlines how Data Mesh can drive innovation, enhance data security, and improve data compliance in a rapidly evolving digital landscape. Duration - 4h 23m. Author - Vincent Berry. Narrator - Ray Collins. Published Date - Wednesday, 15 January 2025. Copyright - © 2025 Vincent Berry ©.
Language:
English
Opening Credits
Duration:00:00:10
Preface
Duration:00:10:45
Chapter 1 Understanding data mesh
Duration:00:22:17
Chapter 2 The case for data mesh
Duration:00:22:17
Chapter 3 Key components of data mesh
Duration:00:25:12
Chapter 4 Implementing data mesh
Duration:00:50:30
Chapter 5 Organizational change for data
Duration:00:44:43
Chapter 6 Governance in data mesh
Duration:00:14:41
Chapter 7 Real world examples of data
Duration:00:10:53
Chapter 8 Future trends and evolutions
Duration:00:52:29
Conclusion
Duration:00:09:16
Ending Credits
Duration:00:00:12