Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 62,82
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Añadir al carritoCondición: As New. Unread book in perfect condition.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 63,01
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Añadir al carritoCondición: New.
Librería: Lucky's Textbooks, Dallas, TX, Estados Unidos de America
EUR 66,21
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Añadir al carritoCondición: New.
Librería: California Books, Miami, FL, Estados Unidos de America
EUR 75,36
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Añadir al carritoCondición: New.
Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 61,92
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Añadir al carritoCondición: New. In English.
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 58,66
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Publicado por Springer International Publishing AG, CH, 2021
ISBN 10: 3031007883 ISBN 13: 9783031007880
Idioma: Inglés
Librería: Rarewaves.com USA, London, LONDO, Reino Unido
EUR 77,75
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Añadir al carritoPaperback. Condición: 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.
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 65,63
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Añadir al carritoCondición: As New. Unread book in perfect condition.
Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 86,81
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Añadir al carritoCondición: New. 1st edition NO-PA16APR2015-KAP.
Publicado por Springer, Berlin|Springer International Publishing|Morgan & Claypool|Springer, 2021
ISBN 10: 3031007883 ISBN 13: 9783031007880
Idioma: Inglés
Librería: moluna, Greven, Alemania
EUR 67,49
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Añadir al carritoCondición: 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.
Publicado por Springer International Publishing AG, CH, 2021
ISBN 10: 3031007883 ISBN 13: 9783031007880
Idioma: Inglés
Librería: Rarewaves.com UK, London, Reino Unido
EUR 72,34
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Añadir al carritoPaperback. Condición: 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.
Publicado por Morgan & Claypool (edition ), 2021
ISBN 10: 1636391745 ISBN 13: 9781636391748
Idioma: Inglés
Librería: BooksRun, Philadelphia, PA, Estados Unidos de America
EUR 151,29
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Añadir al carritoPaperback. Condición: Very Good. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.
Librería: Mispah books, Redhill, SURRE, Reino Unido
EUR 196,69
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Añadir al carritopaperback. Condición: Good. Good. Ships from Multiple Locations. book.
Librería: Majestic Books, Hounslow, Reino Unido
EUR 89,62
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Añadir al carritoCondición: New. Print on Demand.
Librería: Revaluation Books, Exeter, Reino Unido
EUR 71,78
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Añadir al carritoPaperback. Condición: Brand New. 165 pages. 9.25x7.51x9.25 inches. In Stock. This item is printed on demand.
Librería: Biblios, Frankfurt am main, HESSE, Alemania
EUR 91,55
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Añadir al carritoCondición: New. PRINT ON DEMAND.