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This comprehensive guide explores the emerging paradigm of the data mesh and its implications for organizations in a data-driven landscape. It equips readers with the knowledge to design, build, and manage effective data products within the data mesh framework. The book introduces core concepts and principles, emphasizing the shift from centralized data architectures to decentralized, domain-oriented approaches. Key components discussed include federated data governance, data marketplaces, data virtualization, and adaptive data products. Each chapter offers in-depth analysis, practical strategies, and real-world examples to illustrate these concepts. Readers will understand how the data mesh fosters a culture of data ownership, collaboration, and innovation, while exploring the role of modern architectures in facilitating decentralized data sharing and monetization. The significance of emerging technologies like blockchain, AI, and machine learning in enhancing data integrity, security, and value creation is also examined. Throughout, readers discover insights and best practices to tackle challenges related to governance, scalability, privacy, and compliance. They learn to optimize data workflows, leverage domain-driven design principles, and harness data virtualization to drive meaningful insights. This resource is essential for data professionals, architects, and leaders seeking to navigate the complexities of data products
Achat du livre
Data Products and the Data Mesh, Alberto Artasanchez
- Langue
- Année de publication
- 2023
- Reliure
- (souple),
- État du livre
- Abîmé
- Prix
- 18,59 €
Modes de paiement
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- Titre
- Data Products and the Data Mesh
- Sous-titre
- Driving Business Value through Data Modernization
- Langue
- Anglais
- Auteurs
- Alberto Artasanchez
- Éditeur
- The Data Science Ninja
- Publié
- 2023
- Format
- souple
- Pages
- 647
- ISBN13
- 9798397010504
- Séries
- Mots clés
- Description
- This comprehensive guide explores the emerging paradigm of the data mesh and its implications for organizations in a data-driven landscape. It equips readers with the knowledge to design, build, and manage effective data products within the data mesh framework. The book introduces core concepts and principles, emphasizing the shift from centralized data architectures to decentralized, domain-oriented approaches. Key components discussed include federated data governance, data marketplaces, data virtualization, and adaptive data products. Each chapter offers in-depth analysis, practical strategies, and real-world examples to illustrate these concepts. Readers will understand how the data mesh fosters a culture of data ownership, collaboration, and innovation, while exploring the role of modern architectures in facilitating decentralized data sharing and monetization. The significance of emerging technologies like blockchain, AI, and machine learning in enhancing data integrity, security, and value creation is also examined. Throughout, readers discover insights and best practices to tackle challenges related to governance, scalability, privacy, and compliance. They learn to optimize data workflows, leverage domain-driven design principles, and harness data virtualization to drive meaningful insights. This resource is essential for data professionals, architects, and leaders seeking to navigate the complexities of data products