Data Management at Scale: Modern Data Architecture with Data Mesh and Data Fabric 2nd Edition By Piethein Strengholt
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In "Designing Next-Gen Data Architectures: Principles and Practices," Piethein Strengholt addresses the pressing need for scalable and efficient data management solutions in a rapidly evolving landscape. Traditional centralized data warehouses no longer suffice for the swift transformation of data into actionable insights. This practical book offers a comprehensive guide to designing modern data architectures that accommodate the scale and complexity of contemporary organizations.
Strengholt's book is an invaluable resource for executives, architects, engineers, analytics teams, and compliance and governance staff. It provides blueprints, principles, observations, best practices, and patterns to help readers navigate and implement a next-generation data landscape.
Key areas covered in the book include:
Data Management Trends: Understand the latest trends, including regulatory requirements, privacy concerns, and emerging concepts such as data mesh and data fabric.
Modern Data Architecture: Gain in-depth knowledge of building modern data architectures, including cloud data landing zones, domain-driven design, and data product design.
Data Governance and Security: Explore essential topics such as data governance, data security, master data management, self-service data marketplaces, and the critical role of metadata.
Strengholt emphasizes the importance of federating responsibilities and making data readily available, promoting a paradigm shift necessary for today's data-driven world. By following the guidance in this book, organizations can build robust, scalable, and secure data architectures that support rapid data-driven decision-making and innovation. Whether you are looking to revamp your current data infrastructure or design a new one from scratch, this book provides the insights and tools needed to succeed in the era of big data and advanced analytics. 📚❤️
Strengholt's book is an invaluable resource for executives, architects, engineers, analytics teams, and compliance and governance staff. It provides blueprints, principles, observations, best practices, and patterns to help readers navigate and implement a next-generation data landscape.
Key areas covered in the book include:
Data Management Trends: Understand the latest trends, including regulatory requirements, privacy concerns, and emerging concepts such as data mesh and data fabric.
Modern Data Architecture: Gain in-depth knowledge of building modern data architectures, including cloud data landing zones, domain-driven design, and data product design.
Data Governance and Security: Explore essential topics such as data governance, data security, master data management, self-service data marketplaces, and the critical role of metadata.
Strengholt emphasizes the importance of federating responsibilities and making data readily available, promoting a paradigm shift necessary for today's data-driven world. By following the guidance in this book, organizations can build robust, scalable, and secure data architectures that support rapid data-driven decision-making and innovation. Whether you are looking to revamp your current data infrastructure or design a new one from scratch, this book provides the insights and tools needed to succeed in the era of big data and advanced analytics. 📚❤️
Listed on 8 July, 2024