
Fundamentals of Data Engineering
by Joe Reis, Matt Housley (2022)
Like 'Data Management at Scale, 2nd Edition', this book offers foundational knowledge for modern data systems.

by Piethein Strengholt (2020)
The amount of data generated is growing tremendously in size and complexity. As trends in data management and integration, such as cloud, API management, microservices, open data, software as a service (SaaS), and new software delivery models, continue to evolve rapidly, data warehouses and data lakes are no longer scalable. With this practical book, you'll learn how to migrate your enterprise from a complex and tightly coupled data landscape to a new data management architecture that's more flexible, distributed, and scalable. Ready for the modern world of data consumption, this architecture can be introduced incrementally without a large up-front investment. Author Piethein Strengholt provides blueprints, principles, observations, best practices, and patterns to get you up to speed. In three parts, this book helps you: Examine data management trends and difficulties, including technological developments and regulatory and privacy requirements that puzzle enterprises Go deep into this innovative new architecture and learn how the pieces fit together Explore data governance and security, business intelligence, and analytics Understand data management, self-service data marketplaces, and the importance of metadata.
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by Joe Reis, Matt Housley (2022)
Like 'Data Management at Scale, 2nd Edition', this book offers foundational knowledge for modern data systems.

by Martin Kleppmann, Chris Riccomini (2015)
Similar to 'Data Management at Scale, 2nd Edition', it explores complex data challenges and system design.

by Joel Grus (2015)
This book, like 'Data Management at Scale, 2nd Edition', delves into practical data handling and analysis.

by Peter Bruce, Andrew Bruce, Peter Gedeck (2017)
Complementing 'Data Management at Scale, 2nd Edition', it focuses on the statistical underpinnings of data work.

by Eric Freeman, Elisabeth Robson (2004)
While different in genre, it shares 'Data Management at Scale, 2nd Edition''s focus on architectural principles.
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