Data Mesh

di Daniel Garfield (Autore)

Daniel Garfield, 2025

"Data Mesh: Transforming Data Architecture for Decentralized and Scalable Insights" In today's data-driven world, organizations are constantly seeking ways to extract meaningful insights from their ever-growing data volumes. Traditional centralized data architectures often struggle to keep up with the demands of scalability, agility, and distributed decision-making. Enter Data Mesh, a revolutionary approach to data architecture that aims to empower decentralized teams and unlock the full potential of data within organizations. In this book, "Data Mesh: Transforming Data Architecture for Decentralized and Scalable Insights," we delve into the world of Data Mesh and explore how it can revolutionize the way organizations handle data. We provide a comprehensive overview of the principles, components, and benefits of Data Mesh, guiding readers through the process of implementing a decentralized and scalable data architecture. Looking towards the future, we discuss emerging technologies and their implications for Data Mesh, as well as the evolving roles and skills required in a decentralized data landscape. We provide predictions for the future of data architecture and insights, helping readers stay ahead in this ever-evolving field. "Data Mesh: Transforming Data Architecture for Decentralized and Scalable Insights" is an essential resource for data professionals, architects, and business leaders seeking to harness the power of data in a decentralized and scalable manner. By embracing the principles and practices of Data Mesh, organizations can unlock the full potential of their data and achieve unparalleled insights and competitive advantage.

• Autore: Daniel Garfield
• Durata in (hh:mm:ss): 04:53:43
• Anno edizione: 2025
• Editore: Daniel Garfield
• Lingua: Inglese
• EAN: 9798347803781