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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-Generation Data Architectures: A Practical Guide," Piethein Strengholt addresses the evolving landscape of data management, emphasizing the shift away from centralized data warehouses to more scalable and agile approaches. Recognizing the need to swiftly transform data into actionable insights, Strengholt advocates for a paradigmatic change in how organizations federate responsibilities, manage data, and facilitate accessibility.
This comprehensive guide targets executives, architects, engineers, analytics teams, and compliance and governance professionals, offering them the insights and tools necessary to construct a next-gen data architecture tailored to modern organizational demands.
Key topics covered in the book include:
Analysis of current data management trends, encompassing regulatory compliance, privacy considerations, and emerging concepts like data mesh and data fabric.
In-depth exploration of building a modern data architecture, featuring strategies such as cloud data landing zones, domain-driven design principles, and data product design methodologies.
Examination of crucial aspects of data governance and security, including master data management practices, the establishment of self-service data marketplaces, and the pivotal role of metadata in data management ecosystems.
Strengholt's approach combines blueprints, principles, observations, best practices, and actionable patterns to empower readers in crafting robust and scalable data architectures. By emphasizing agility, scalability, and the rapid delivery of value from data assets, this book equips practitioners with the necessary knowledge to navigate and leverage the complexities of modern data environments effectively.
Whether you're tasked with architecting data solutions, ensuring regulatory compliance, or optimizing data-driven decision-making processes, "Designing Next-Generation Data Architectures" serves as a vital resource for achieving success in today's data-intensive landscape. ❤️📚❤️
This comprehensive guide targets executives, architects, engineers, analytics teams, and compliance and governance professionals, offering them the insights and tools necessary to construct a next-gen data architecture tailored to modern organizational demands.
Key topics covered in the book include:
Analysis of current data management trends, encompassing regulatory compliance, privacy considerations, and emerging concepts like data mesh and data fabric.
In-depth exploration of building a modern data architecture, featuring strategies such as cloud data landing zones, domain-driven design principles, and data product design methodologies.
Examination of crucial aspects of data governance and security, including master data management practices, the establishment of self-service data marketplaces, and the pivotal role of metadata in data management ecosystems.
Strengholt's approach combines blueprints, principles, observations, best practices, and actionable patterns to empower readers in crafting robust and scalable data architectures. By emphasizing agility, scalability, and the rapid delivery of value from data assets, this book equips practitioners with the necessary knowledge to navigate and leverage the complexities of modern data environments effectively.
Whether you're tasked with architecting data solutions, ensuring regulatory compliance, or optimizing data-driven decision-making processes, "Designing Next-Generation Data Architectures" serves as a vital resource for achieving success in today's data-intensive landscape. ❤️📚❤️
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