Data Mesh: Delivering Data-Driven Value at Scale
Data Mesh: Delivering Data-Driven Value at Scale
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The book "Data Mesh: A Practical Guide to Distributed Analytical Data Management" introduces data mesh, a decentralized sociotechnical paradigm for scalable data management. It provides an approach to sourcing, sharing, accessing, and managing analytical data at scale, treating data as a product and applying platform thinking to create self-serve data infrastructure.
Format: Paperback / softback
Length: 270 pages
Publication date: 22 March 2022
Publisher: O'Reilly Media, Inc, USA
We are currently facing a significant shift in the realm of data management, where the solutions we have in place are no longer sufficient to meet the evolving complexities of organizations, the proliferation of data sources, and our ambitious goals of extracting valuable insights through AI and analytics. In this invaluable book, author Zhamak Dehghani introduces us to data mesh, a decentralized sociotechnical paradigm rooted in modern distributed architecture. It offers a fresh perspective on sourcing, sharing, accessing, and managing analytical data on a massive scale. Dehghani passionately guides practitioners, architects, technical leaders, and decision-makers on their transformative journey from traditional big data architecture to a distributed and multidimensional approach to analytical data management.
Data mesh treats data as a valuable product, prioritizes domains as the central focus, employs platform thinking to establish self-serve data infrastructure, and introduces a federated computational model of data governance. This comprehensive guide provides a thorough introduction to the principles of data mesh and its essential components. It guides you through the process of designing a data mesh architecture that aligns with your organization's needs. Furthermore, it offers practical insights on how to execute a data mesh strategy and ensure successful implementation. By embracing a decentralized data ownership model, you can navigate organizational design towards a more efficient and effective data management landscape.
As we move beyond traditional data warehouses and lakes, the data mesh enables us to embrace a distributed data architecture that harnesses the power of modern technologies and facilitates seamless collaboration among stakeholders. This shift not only enhances our ability to analyze and interpret data more effectively but also opens up new avenues for innovation and growth. By embracing data mesh, we can unlock the full potential of our data and drive meaningful business outcomes in the ever-evolving digital landscape.
Weight: 668g
Dimension: 177 x 232 x 23 (mm)
ISBN-13: 9781492092391
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