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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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Data Management at Scale: Modern Data Architecture with Data Mesh and Data Fabric 2nd Edition by Piethein Strengholt
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About this item
In "Building Next-Generation Data Architectures: A Practical Guide," Piethein Strengholt addresses the evolving landscape of data management, emphasizing the inadequacies of centralized data warehouses in today's fast-paced environment. As organizations strive to derive timely insights and value from data, a paradigm shift towards decentralized and scalable data architectures becomes essential.
This book is tailored for executives, architects, engineers, analytics teams, and compliance/governance professionals seeking to navigate the complexities of modern data management. Strengholt provides comprehensive guidance on designing and implementing a next-generation data landscape that meets the scalability and agility demands of contemporary enterprises.
Key topics covered include:
Examination of current data management trends, such as regulatory requirements, privacy concerns, and emerging concepts like data mesh and data fabric.
Deep dive into building modern data architectures, encompassing strategies like cloud data landing zones, domain-driven design, and data product design to foster agility and scalability.
Exploration of critical aspects such as data governance, data security, master data management, and the establishment of self-service data marketplaces.
Emphasis on the role of metadata in enhancing data discoverability, lineage, and quality assurance across the organization.
Strengholt's approach integrates blueprints, principles, observations, best practices, and patterns to empower readers in designing robust and adaptable data infrastructures. By embracing decentralized responsibilities and leveraging modern architectural concepts, organizations can accelerate their journey towards turning data into actionable insights effectively and efficiently.
This practical guide serves as an invaluable resource for those looking to stay ahead in the rapidly evolving field of data management, enabling them to build resilient and future-proof data architectures capable of meeting the dynamic needs of today's data-driven enterprises.
This book is tailored for executives, architects, engineers, analytics teams, and compliance/governance professionals seeking to navigate the complexities of modern data management. Strengholt provides comprehensive guidance on designing and implementing a next-generation data landscape that meets the scalability and agility demands of contemporary enterprises.
Key topics covered include:
Examination of current data management trends, such as regulatory requirements, privacy concerns, and emerging concepts like data mesh and data fabric.
Deep dive into building modern data architectures, encompassing strategies like cloud data landing zones, domain-driven design, and data product design to foster agility and scalability.
Exploration of critical aspects such as data governance, data security, master data management, and the establishment of self-service data marketplaces.
Emphasis on the role of metadata in enhancing data discoverability, lineage, and quality assurance across the organization.
Strengholt's approach integrates blueprints, principles, observations, best practices, and patterns to empower readers in designing robust and adaptable data infrastructures. By embracing decentralized responsibilities and leveraging modern architectural concepts, organizations can accelerate their journey towards turning data into actionable insights effectively and efficiently.
This practical guide serves as an invaluable resource for those looking to stay ahead in the rapidly evolving field of data management, enabling them to build resilient and future-proof data architectures capable of meeting the dynamic needs of today's data-driven enterprises.
In "Building Next-Generation Data Architectures: A Practical Guide," Piethein Strengholt addresses the evolving landscape of data management, emphasizing the inadequacies of centralized data warehouses in today's fast-paced environment. As organizations strive to derive timely insights and value from data, a paradigm shift towards decentralized and scalable data architectures becomes essential.
This book is tailored for executives, architects, engineers, analytics teams, and compliance/governance professionals seeking to navigate the complexities of modern data management. Strengholt provides comprehensive guidance on designing and implementing a next-generation data landscape that meets the scalability and agility demands of contemporary enterprises.
Key topics covered include:
Examination of current data management trends, such as regulatory requirements, privacy concerns, and emerging concepts like data mesh and data fabric.
Deep dive into building modern data architectures, encompassing strategies like cloud data landing zones, domain-driven design, and data product design to foster agility and scalability.
Exploration of critical aspects such as data governance, data security, master data management, and the establishment of self-service data marketplaces.
Emphasis on the role of metadata in enhancing data discoverability, lineage, and quality assurance across the organization.
Strengholt's approach integrates blueprints, principles, observations, best practices, and patterns to empower readers in designing robust and adaptable data infrastructures. By embracing decentralized responsibilities and leveraging modern architectural concepts, organizations can accelerate their journey towards turning data into actionable insights effectively and efficiently.
This practical guide serves as an invaluable resource for those looking to stay ahead in the rapidly evolving field of data management, enabling them to build resilient and future-proof data architectures capable of meeting the dynamic needs of today's data-driven enterprises.
This book is tailored for executives, architects, engineers, analytics teams, and compliance/governance professionals seeking to navigate the complexities of modern data management. Strengholt provides comprehensive guidance on designing and implementing a next-generation data landscape that meets the scalability and agility demands of contemporary enterprises.
Key topics covered include:
Examination of current data management trends, such as regulatory requirements, privacy concerns, and emerging concepts like data mesh and data fabric.
Deep dive into building modern data architectures, encompassing strategies like cloud data landing zones, domain-driven design, and data product design to foster agility and scalability.
Exploration of critical aspects such as data governance, data security, master data management, and the establishment of self-service data marketplaces.
Emphasis on the role of metadata in enhancing data discoverability, lineage, and quality assurance across the organization.
Strengholt's approach integrates blueprints, principles, observations, best practices, and patterns to empower readers in designing robust and adaptable data infrastructures. By embracing decentralized responsibilities and leveraging modern architectural concepts, organizations can accelerate their journey towards turning data into actionable insights effectively and efficiently.
This practical guide serves as an invaluable resource for those looking to stay ahead in the rapidly evolving field of data management, enabling them to build resilient and future-proof data architectures capable of meeting the dynamic needs of today's data-driven enterprises.
About this item
In "Building Next-Generation Data Architectures: A Practical Guide," Piethein Strengholt addresses the evolving landscape of data management, emphasizing the inadequacies of centralized data warehouses in today's fast-paced environment. As organizations strive to derive timely insights and value from data, a paradigm shift towards decentralized and scalable data architectures becomes essential.
This book is tailored for executives, architects, engineers, analytics teams, and compliance/governance professionals seeking to navigate the complexities of modern data management. Strengholt provides comprehensive guidance on designing and implementing a next-generation data landscape that meets the scalability and agility demands of contemporary enterprises.
Key topics covered include:
Examination of current data management trends, such as regulatory requirements, privacy concerns, and emerging concepts like data mesh and data fabric.
Deep dive into building modern data architectures, encompassing strategies like cloud data landing zones, domain-driven design, and data product design to foster agility and scalability.
Exploration of critical aspects such as data governance, data security, master data management, and the establishment of self-service data marketplaces.
Emphasis on the role of metadata in enhancing data discoverability, lineage, and quality assurance across the organization.
Strengholt's approach integrates blueprints, principles, observations, best practices, and patterns to empower readers in designing robust and adaptable data infrastructures. By embracing decentralized responsibilities and leveraging modern architectural concepts, organizations can accelerate their journey towards turning data into actionable insights effectively and efficiently.
This practical guide serves as an invaluable resource for those looking to stay ahead in the rapidly evolving field of data management, enabling them to build resilient and future-proof data architectures capable of meeting the dynamic needs of today's data-driven enterprises.
This book is tailored for executives, architects, engineers, analytics teams, and compliance/governance professionals seeking to navigate the complexities of modern data management. Strengholt provides comprehensive guidance on designing and implementing a next-generation data landscape that meets the scalability and agility demands of contemporary enterprises.
Key topics covered include:
Examination of current data management trends, such as regulatory requirements, privacy concerns, and emerging concepts like data mesh and data fabric.
Deep dive into building modern data architectures, encompassing strategies like cloud data landing zones, domain-driven design, and data product design to foster agility and scalability.
Exploration of critical aspects such as data governance, data security, master data management, and the establishment of self-service data marketplaces.
Emphasis on the role of metadata in enhancing data discoverability, lineage, and quality assurance across the organization.
Strengholt's approach integrates blueprints, principles, observations, best practices, and patterns to empower readers in designing robust and adaptable data infrastructures. By embracing decentralized responsibilities and leveraging modern architectural concepts, organizations can accelerate their journey towards turning data into actionable insights effectively and efficiently.
This practical guide serves as an invaluable resource for those looking to stay ahead in the rapidly evolving field of data management, enabling them to build resilient and future-proof data architectures capable of meeting the dynamic needs of today's data-driven enterprises.
In "Building Next-Generation Data Architectures: A Practical Guide," Piethein Strengholt addresses the evolving landscape of data management, emphasizing the inadequacies of centralized data warehouses in today's fast-paced environment. As organizations strive to derive timely insights and value from data, a paradigm shift towards decentralized and scalable data architectures becomes essential.
This book is tailored for executives, architects, engineers, analytics teams, and compliance/governance professionals seeking to navigate the complexities of modern data management. Strengholt provides comprehensive guidance on designing and implementing a next-generation data landscape that meets the scalability and agility demands of contemporary enterprises.
Key topics covered include:
Examination of current data management trends, such as regulatory requirements, privacy concerns, and emerging concepts like data mesh and data fabric.
Deep dive into building modern data architectures, encompassing strategies like cloud data landing zones, domain-driven design, and data product design to foster agility and scalability.
Exploration of critical aspects such as data governance, data security, master data management, and the establishment of self-service data marketplaces.
Emphasis on the role of metadata in enhancing data discoverability, lineage, and quality assurance across the organization.
Strengholt's approach integrates blueprints, principles, observations, best practices, and patterns to empower readers in designing robust and adaptable data infrastructures. By embracing decentralized responsibilities and leveraging modern architectural concepts, organizations can accelerate their journey towards turning data into actionable insights effectively and efficiently.
This practical guide serves as an invaluable resource for those looking to stay ahead in the rapidly evolving field of data management, enabling them to build resilient and future-proof data architectures capable of meeting the dynamic needs of today's data-driven enterprises.
This book is tailored for executives, architects, engineers, analytics teams, and compliance/governance professionals seeking to navigate the complexities of modern data management. Strengholt provides comprehensive guidance on designing and implementing a next-generation data landscape that meets the scalability and agility demands of contemporary enterprises.
Key topics covered include:
Examination of current data management trends, such as regulatory requirements, privacy concerns, and emerging concepts like data mesh and data fabric.
Deep dive into building modern data architectures, encompassing strategies like cloud data landing zones, domain-driven design, and data product design to foster agility and scalability.
Exploration of critical aspects such as data governance, data security, master data management, and the establishment of self-service data marketplaces.
Emphasis on the role of metadata in enhancing data discoverability, lineage, and quality assurance across the organization.
Strengholt's approach integrates blueprints, principles, observations, best practices, and patterns to empower readers in designing robust and adaptable data infrastructures. By embracing decentralized responsibilities and leveraging modern architectural concepts, organizations can accelerate their journey towards turning data into actionable insights effectively and efficiently.
This practical guide serves as an invaluable resource for those looking to stay ahead in the rapidly evolving field of data management, enabling them to build resilient and future-proof data architectures capable of meeting the dynamic needs of today's data-driven enterprises.
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Most Reviewed
Data Management at Scale: Modern Data Architecture with Data Mesh and Data Fabric 2nd Edition by Piethein Strengholt
EpicEbits
466 sales
NaN
NaN
$18.521852
& Instant Download
Data Management at Scale: Modern Data Architecture with Data Mesh and Data Fabric 2nd Edition by Piethein Strengholt
0review
NaN
people viewing this product right now.people are viewing this. Don’t miss out!
Payment Methods:
Payment Methods:
Payment Methods:
Payment Methods:
About this item
In "Building Next-Generation Data Architectures: A Practical Guide," Piethein Strengholt addresses the evolving landscape of data management, emphasizing the inadequacies of centralized data warehouses in today's fast-paced environment. As organizations strive to derive timely insights and value from data, a paradigm shift towards decentralized and scalable data architectures becomes essential.
This book is tailored for executives, architects, engineers, analytics teams, and compliance/governance professionals seeking to navigate the complexities of modern data management. Strengholt provides comprehensive guidance on designing and implementing a next-generation data landscape that meets the scalability and agility demands of contemporary enterprises.
Key topics covered include:
Examination of current data management trends, such as regulatory requirements, privacy concerns, and emerging concepts like data mesh and data fabric.
Deep dive into building modern data architectures, encompassing strategies like cloud data landing zones, domain-driven design, and data product design to foster agility and scalability.
Exploration of critical aspects such as data governance, data security, master data management, and the establishment of self-service data marketplaces.
Emphasis on the role of metadata in enhancing data discoverability, lineage, and quality assurance across the organization.
Strengholt's approach integrates blueprints, principles, observations, best practices, and patterns to empower readers in designing robust and adaptable data infrastructures. By embracing decentralized responsibilities and leveraging modern architectural concepts, organizations can accelerate their journey towards turning data into actionable insights effectively and efficiently.
This practical guide serves as an invaluable resource for those looking to stay ahead in the rapidly evolving field of data management, enabling them to build resilient and future-proof data architectures capable of meeting the dynamic needs of today's data-driven enterprises.
This book is tailored for executives, architects, engineers, analytics teams, and compliance/governance professionals seeking to navigate the complexities of modern data management. Strengholt provides comprehensive guidance on designing and implementing a next-generation data landscape that meets the scalability and agility demands of contemporary enterprises.
Key topics covered include:
Examination of current data management trends, such as regulatory requirements, privacy concerns, and emerging concepts like data mesh and data fabric.
Deep dive into building modern data architectures, encompassing strategies like cloud data landing zones, domain-driven design, and data product design to foster agility and scalability.
Exploration of critical aspects such as data governance, data security, master data management, and the establishment of self-service data marketplaces.
Emphasis on the role of metadata in enhancing data discoverability, lineage, and quality assurance across the organization.
Strengholt's approach integrates blueprints, principles, observations, best practices, and patterns to empower readers in designing robust and adaptable data infrastructures. By embracing decentralized responsibilities and leveraging modern architectural concepts, organizations can accelerate their journey towards turning data into actionable insights effectively and efficiently.
This practical guide serves as an invaluable resource for those looking to stay ahead in the rapidly evolving field of data management, enabling them to build resilient and future-proof data architectures capable of meeting the dynamic needs of today's data-driven enterprises.
In "Building Next-Generation Data Architectures: A Practical Guide," Piethein Strengholt addresses the evolving landscape of data management, emphasizing the inadequacies of centralized data warehouses in today's fast-paced environment. As organizations strive to derive timely insights and value from data, a paradigm shift towards decentralized and scalable data architectures becomes essential.
This book is tailored for executives, architects, engineers, analytics teams, and compliance/governance professionals seeking to navigate the complexities of modern data management. Strengholt provides comprehensive guidance on designing and implementing a next-generation data landscape that meets the scalability and agility demands of contemporary enterprises.
Key topics covered include:
Examination of current data management trends, such as regulatory requirements, privacy concerns, and emerging concepts like data mesh and data fabric.
Deep dive into building modern data architectures, encompassing strategies like cloud data landing zones, domain-driven design, and data product design to foster agility and scalability.
Exploration of critical aspects such as data governance, data security, master data management, and the establishment of self-service data marketplaces.
Emphasis on the role of metadata in enhancing data discoverability, lineage, and quality assurance across the organization.
Strengholt's approach integrates blueprints, principles, observations, best practices, and patterns to empower readers in designing robust and adaptable data infrastructures. By embracing decentralized responsibilities and leveraging modern architectural concepts, organizations can accelerate their journey towards turning data into actionable insights effectively and efficiently.
This practical guide serves as an invaluable resource for those looking to stay ahead in the rapidly evolving field of data management, enabling them to build resilient and future-proof data architectures capable of meeting the dynamic needs of today's data-driven enterprises.
This book is tailored for executives, architects, engineers, analytics teams, and compliance/governance professionals seeking to navigate the complexities of modern data management. Strengholt provides comprehensive guidance on designing and implementing a next-generation data landscape that meets the scalability and agility demands of contemporary enterprises.
Key topics covered include:
Examination of current data management trends, such as regulatory requirements, privacy concerns, and emerging concepts like data mesh and data fabric.
Deep dive into building modern data architectures, encompassing strategies like cloud data landing zones, domain-driven design, and data product design to foster agility and scalability.
Exploration of critical aspects such as data governance, data security, master data management, and the establishment of self-service data marketplaces.
Emphasis on the role of metadata in enhancing data discoverability, lineage, and quality assurance across the organization.
Strengholt's approach integrates blueprints, principles, observations, best practices, and patterns to empower readers in designing robust and adaptable data infrastructures. By embracing decentralized responsibilities and leveraging modern architectural concepts, organizations can accelerate their journey towards turning data into actionable insights effectively and efficiently.
This practical guide serves as an invaluable resource for those looking to stay ahead in the rapidly evolving field of data management, enabling them to build resilient and future-proof data architectures capable of meeting the dynamic needs of today's data-driven enterprises.
About this item
In "Building Next-Generation Data Architectures: A Practical Guide," Piethein Strengholt addresses the evolving landscape of data management, emphasizing the inadequacies of centralized data warehouses in today's fast-paced environment. As organizations strive to derive timely insights and value from data, a paradigm shift towards decentralized and scalable data architectures becomes essential.
This book is tailored for executives, architects, engineers, analytics teams, and compliance/governance professionals seeking to navigate the complexities of modern data management. Strengholt provides comprehensive guidance on designing and implementing a next-generation data landscape that meets the scalability and agility demands of contemporary enterprises.
Key topics covered include:
Examination of current data management trends, such as regulatory requirements, privacy concerns, and emerging concepts like data mesh and data fabric.
Deep dive into building modern data architectures, encompassing strategies like cloud data landing zones, domain-driven design, and data product design to foster agility and scalability.
Exploration of critical aspects such as data governance, data security, master data management, and the establishment of self-service data marketplaces.
Emphasis on the role of metadata in enhancing data discoverability, lineage, and quality assurance across the organization.
Strengholt's approach integrates blueprints, principles, observations, best practices, and patterns to empower readers in designing robust and adaptable data infrastructures. By embracing decentralized responsibilities and leveraging modern architectural concepts, organizations can accelerate their journey towards turning data into actionable insights effectively and efficiently.
This practical guide serves as an invaluable resource for those looking to stay ahead in the rapidly evolving field of data management, enabling them to build resilient and future-proof data architectures capable of meeting the dynamic needs of today's data-driven enterprises.
This book is tailored for executives, architects, engineers, analytics teams, and compliance/governance professionals seeking to navigate the complexities of modern data management. Strengholt provides comprehensive guidance on designing and implementing a next-generation data landscape that meets the scalability and agility demands of contemporary enterprises.
Key topics covered include:
Examination of current data management trends, such as regulatory requirements, privacy concerns, and emerging concepts like data mesh and data fabric.
Deep dive into building modern data architectures, encompassing strategies like cloud data landing zones, domain-driven design, and data product design to foster agility and scalability.
Exploration of critical aspects such as data governance, data security, master data management, and the establishment of self-service data marketplaces.
Emphasis on the role of metadata in enhancing data discoverability, lineage, and quality assurance across the organization.
Strengholt's approach integrates blueprints, principles, observations, best practices, and patterns to empower readers in designing robust and adaptable data infrastructures. By embracing decentralized responsibilities and leveraging modern architectural concepts, organizations can accelerate their journey towards turning data into actionable insights effectively and efficiently.
This practical guide serves as an invaluable resource for those looking to stay ahead in the rapidly evolving field of data management, enabling them to build resilient and future-proof data architectures capable of meeting the dynamic needs of today's data-driven enterprises.
In "Building Next-Generation Data Architectures: A Practical Guide," Piethein Strengholt addresses the evolving landscape of data management, emphasizing the inadequacies of centralized data warehouses in today's fast-paced environment. As organizations strive to derive timely insights and value from data, a paradigm shift towards decentralized and scalable data architectures becomes essential.
This book is tailored for executives, architects, engineers, analytics teams, and compliance/governance professionals seeking to navigate the complexities of modern data management. Strengholt provides comprehensive guidance on designing and implementing a next-generation data landscape that meets the scalability and agility demands of contemporary enterprises.
Key topics covered include:
Examination of current data management trends, such as regulatory requirements, privacy concerns, and emerging concepts like data mesh and data fabric.
Deep dive into building modern data architectures, encompassing strategies like cloud data landing zones, domain-driven design, and data product design to foster agility and scalability.
Exploration of critical aspects such as data governance, data security, master data management, and the establishment of self-service data marketplaces.
Emphasis on the role of metadata in enhancing data discoverability, lineage, and quality assurance across the organization.
Strengholt's approach integrates blueprints, principles, observations, best practices, and patterns to empower readers in designing robust and adaptable data infrastructures. By embracing decentralized responsibilities and leveraging modern architectural concepts, organizations can accelerate their journey towards turning data into actionable insights effectively and efficiently.
This practical guide serves as an invaluable resource for those looking to stay ahead in the rapidly evolving field of data management, enabling them to build resilient and future-proof data architectures capable of meeting the dynamic needs of today's data-driven enterprises.
This book is tailored for executives, architects, engineers, analytics teams, and compliance/governance professionals seeking to navigate the complexities of modern data management. Strengholt provides comprehensive guidance on designing and implementing a next-generation data landscape that meets the scalability and agility demands of contemporary enterprises.
Key topics covered include:
Examination of current data management trends, such as regulatory requirements, privacy concerns, and emerging concepts like data mesh and data fabric.
Deep dive into building modern data architectures, encompassing strategies like cloud data landing zones, domain-driven design, and data product design to foster agility and scalability.
Exploration of critical aspects such as data governance, data security, master data management, and the establishment of self-service data marketplaces.
Emphasis on the role of metadata in enhancing data discoverability, lineage, and quality assurance across the organization.
Strengholt's approach integrates blueprints, principles, observations, best practices, and patterns to empower readers in designing robust and adaptable data infrastructures. By embracing decentralized responsibilities and leveraging modern architectural concepts, organizations can accelerate their journey towards turning data into actionable insights effectively and efficiently.
This practical guide serves as an invaluable resource for those looking to stay ahead in the rapidly evolving field of data management, enabling them to build resilient and future-proof data architectures capable of meeting the dynamic needs of today's data-driven enterprises.
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