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In den WarenkorbZustand: New. In English.
Verlag: Springer International Publishing AG, CH, 2021
ISBN 10: 3031007883 ISBN 13: 9783031007880
Sprache: Englisch
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In den WarenkorbPaperback. Zustand: New. This book is a guide to designing and building knowledge graphs from enterprise relational databases in practice.\ It presents a principled framework centered on mapping patterns to connect relational databases with knowledge graphs, the roles within an organization responsible for the knowledge graph, and the process that combines data and people. The content of this book is applicable to knowledge graphs being built either with property graph or RDF graph technologies. Knowledge graphs are fulfilling the vision of creating intelligent systems that integrate knowledge and data at large scale. Tech giants have adopted knowledge graphs for the foundation of next-generation enterprise data and metadata management, search, recommendation, analytics, intelligent agents, and more. We are now observing an increasing number of enterprises that seek to adopt knowledge graphs to develop a competitive edge. In order for enterprises to design and build knowledge graphs, they need to understand the critical data stored in relational databases. How can enterprises successfully adopt knowledge graphs to integrate data and knowledge, without boiling the ocean? This book provides the answers.
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In den WarenkorbZustand: New. 1st edition NO-PA16APR2015-KAP.
Verlag: Springer, Berlin|Springer International Publishing|Morgan & Claypool|Springer, 2021
ISBN 10: 3031007883 ISBN 13: 9783031007880
Sprache: Englisch
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In den WarenkorbZustand: New. This book is a guide to designing and building knowledge graphs from enterprise relational databases in practice. It presents a principled framework centered on mapping patterns to connect relational databases with knowledge graphs, the roles within an orga.
Verlag: Springer International Publishing AG, CH, 2021
ISBN 10: 3031007883 ISBN 13: 9783031007880
Sprache: Englisch
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In den WarenkorbPaperback. Zustand: New. This book is a guide to designing and building knowledge graphs from enterprise relational databases in practice.\ It presents a principled framework centered on mapping patterns to connect relational databases with knowledge graphs, the roles within an organization responsible for the knowledge graph, and the process that combines data and people. The content of this book is applicable to knowledge graphs being built either with property graph or RDF graph technologies. Knowledge graphs are fulfilling the vision of creating intelligent systems that integrate knowledge and data at large scale. Tech giants have adopted knowledge graphs for the foundation of next-generation enterprise data and metadata management, search, recommendation, analytics, intelligent agents, and more. We are now observing an increasing number of enterprises that seek to adopt knowledge graphs to develop a competitive edge. In order for enterprises to design and build knowledge graphs, they need to understand the critical data stored in relational databases. How can enterprises successfully adopt knowledge graphs to integrate data and knowledge, without boiling the ocean? This book provides the answers.
Verlag: Morgan & Claypool (edition ), 2021
ISBN 10: 1636391745 ISBN 13: 9781636391748
Sprache: Englisch
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In den WarenkorbPaperback. Zustand: Brand New. 165 pages. 9.25x7.51x9.25 inches. In Stock. This item is printed on demand.
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