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Destinos, gastos y plazos de envíoLibrería: BargainBookStores, Grand Rapids, MI, Estados Unidos de America
Paperback or Softback. Condición: New. Practical Graph Structures in SQL Server and Azure SQL: Enabling Deeper Insights Using Highly Connected Data 1. Book. Nº de ref. del artículo: BBS-9781484294581
Cantidad disponible: 5 disponibles
Librería: Lakeside Books, Benton Harbor, MI, Estados Unidos de America
Condición: New. Brand New! Not Overstocks or Low Quality Book Club Editions! Direct From the Publisher! We're not a giant, faceless warehouse organization! We're a small town bookstore that loves books and loves it's customers! Buy from Lakeside Books! Nº de ref. del artículo: OTF-S-9781484294581
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Librería: Russell Books, Victoria, BC, Canada
paperback. Condición: New. 1st ed. Special order direct from the distributor. Nº de ref. del artículo: ING9781484294581
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Librería: Revaluation Books, Exeter, Reino Unido
Paperback. Condición: Brand New. 255 pages. 10.00x7.01x0.54 inches. In Stock. Nº de ref. del artículo: x-1484294580
Cantidad disponible: 2 disponibles
Librería: Buchpark, Trebbin, Alemania
Condición: Hervorragend. Zustand: Hervorragend | Seiten: 256 | Sprache: Englisch | Produktart: Bücher. Nº de ref. del artículo: 41543357/1
Cantidad disponible: 4 disponibles
Librería: Ria Christie Collections, Uxbridge, Reino Unido
Condición: New. In. Nº de ref. del artículo: ria9781484294581_new
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Use the graph table features in Azure SQL that were introduced in SQL Server 2017 and further refined in SQL Server 2019. This book shows you how to create data structures to capture complex connections between items in your data. These connections will help you analyze and draw insights from connections in your data that go beyond classic relationships. The graph examples in the book are useful for analyzing social media relationships, complex product-to-customer relationships, and any other type of data analysis in which indirect connections that otherwise might be missed using conventional techniques can be mined for their insight and business value.Tree structures are covered, with emphasis on a structure commonly used by organizations to aggregate data at different levels of an organization. The book provides code examples of SQL Graph objects as well as an alternate tree implementation technique. Included is sample data (and data generators) for you to test for performance and choose the implementation approach that best suits your needs and that of your application.If your job involves analyzing or storage of data elements that are connected in a networked topology, then this is the book that will help you bring the power of SQL Server to bear on that data and take advantage of your existing knowledge.What You Will LearnUnderstand the graph model and the associated terms used in graph analysisStore highly connected data in SQL Server and Azure SQL alongside existing relational dataMake full use of the graph table feature that is refined and enhanced in SQL Server 2019Implement high performance tree structures that will make storing and querying tree data possibleReport on data associated with a tree structure to aggregate results at different levelsWho This Book Is For 256 pp. Englisch. Nº de ref. del artículo: 9781484294581
Cantidad disponible: 2 disponibles
Librería: THE SAINT BOOKSTORE, Southport, Reino Unido
Paperback / softback. Condición: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 493. Nº de ref. del artículo: C9781484294581
Cantidad disponible: Más de 20 disponibles
Librería: AHA-BUCH GmbH, Einbeck, Alemania
Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Use the graph table features in Azure SQL that were introduced in SQL Server 2017 and further refined in SQL Server 2019. This book shows you how to create data structures to capture complex connections between items in your data. These connections will help you analyze and draw insights from connections in your data that go beyond classic relationships. The graph examples in the book are useful for analyzing social media relationships, complex product-to-customer relationships, and any other type of data analysis in which indirect connections that otherwise might be missed using conventional techniques can be mined for their insight and business value.Tree structures are covered, with emphasis on a structure commonly used by organizations to aggregate data at different levels of an organization. The book provides code examples of SQL Graph objects as well as an alternate tree implementation technique. Included is sample data (and data generators) for you to test for performance and choose the implementation approach that best suits your needs and that of your application.If your job involves analyzing or storage of data elements that are connected in a networked topology, then this is the book that will help you bring the power of SQL Server to bear on that data and take advantage of your existing knowledge.What You Will LearnUnderstand the graph model and the associated terms used in graph analysisStore highly connected data in SQL Server and Azure SQL alongside existing relational dataMake full use of the graph table feature that is refined and enhanced in SQL Server 2019Implement high performance tree structures that will make storing and querying tree data possibleReport on data associated with a tree structure to aggregate results at different levelsWho This Book Is For. Nº de ref. del artículo: 9781484294581
Cantidad disponible: 1 disponibles
Librería: moluna, Greven, Alemania
Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Intermediate-Advanced user level|Helps SQL Server and Azure SQL professionals build graph solutions using the tools they already knowDemonstrates multiple approaches for implementing graph structures in SQL Server and Azure SQLProvides code. Nº de ref. del artículo: 829429889
Cantidad disponible: Más de 20 disponibles