EUR 10,57
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Aggiungi al carrelloPaperback. Condizione: Very Good. SQL Server Advanced Data Types: JSON, XML, and Beyond This book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages are clean, intact and the spine remains undamaged. This book has clearly been well maintained and looked after thus far. Money back guarantee if you are not satisfied. See all our books here, order more than 1 book and get discounted shipping. .
Da: BargainBookStores, Grand Rapids, MI, U.S.A.
EUR 43,10
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Aggiungi al carrelloPaperback or Softback. Condizione: New. SQL Server Advanced Data Types: Json, XML, and Beyond 1.26. Book.
EUR 66,60
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Aggiungi al carrelloPaperback. Condizione: Brand New. 392 pages. 9.00x6.00x0.75 inches. In Stock.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 68,66
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Aggiungi al carrelloCondizione: New. In.
EUR 63,00
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Aggiungi al carrelloPaperback. Condizione: New.
EUR 39,88
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Aggiungi al carrelloCondizione: 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!
EUR 43,00
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Aggiungi al carrelloCondizione: New.
Da: moluna, Greven, Germania
EUR 57,59
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Aggiungi al carrelloKartoniert / Broschiert. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Tagline: Taking full advantage of SQL Server s ever-growing support for modern data|Shows how non-relational data types can transform the way you store and interact with business critical dataIntroduces the growing am.
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 64,19
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Deliver advanced functionality faster and cheaper by exploiting SQL Server's ever-growing amount of built-in support for modern data formats. Learn about the growingsupport within SQL Server for operations and data transformations that have previously required third-party software and all the associated licensing and development costs. Benefit through a better understanding of what can be done inside the database engine with no additional costs or development time invested in outside software.Widely used types such as JSON and XML are well-supported by the database engine. The same is true of hierarchical data and even temporal data. Knowledge of these advanced types is crucial to unleashing the full power that's available from your organization's SQL Server database investment.SQL Server Advanced Data Types explores each of the complex data types supplied within SQL Server. Common usage scenarios for each complex data type are discussed, followed by a detailed discussion on how to work with each data type. Each chapter demystifies the complex data and you learn how to use the data types most efficiently.The book offers a practical guide to working with complex data, using real-world examples to demonstrate how each data type can be leveraged. Performance considerations are also discussed, including the implementation of special indexes such as XML indexes and spatial indexes.What You'll LearnUnderstand the implementation of basic data types and why using the correct type is so importantWork with XML data through the XML data typeConstruct XML data from relational result setsStore and manipulate JSON data using the JSON data typeModel and analyze spatial data for geographic information systemsDefine hierarchies and query them efficiently through the HierarchyID typeWho This Book Is ForSQL Server developers and application developers who need to store and access complex data structures 408 pp. Englisch.
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 67,34
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Aggiungi al carrelloPaperback / softback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 680.
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 68,82
Convertire valutaQuantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Deliver advanced functionality faster and cheaper by exploiting SQL Server's ever-growing amount of built-in support for modern data formats. Learn about the growingsupport within SQL Server for operations and data transformations that have previously required third-party software and all the associated licensing and development costs. Benefit through a better understanding of what can be done inside the database engine with no additional costs or development time invested in outside software.Widely used types such as JSON and XML are well-supported by the database engine. The same is true of hierarchical data and even temporal data. Knowledge of these advanced types is crucial to unleashing the full power that's available from your organization's SQL Server database investment.SQL Server Advanced Data Types explores each of the complex data types supplied within SQL Server. Common usage scenarios for eachcomplex data type are discussed, followed by a detailed discussion on how to work with each data type. Each chapter demystifies the complex data and you learn how to use the data types most efficiently.The book offers a practical guide to working with complex data, using real-world examples to demonstrate how each data type can be leveraged. Performance considerations are also discussed, including the implementation of special indexes such as XML indexes and spatial indexes.What You'll LearnUnderstand the implementation of basic data types and why using the correct type is so importantWork with XML data through the XML data typeConstruct XML data from relational result setsStore and manipulate JSON data using the JSON data typeModel and analyze spatial data for geographic information systemsDefine hierarchies and query them efficiently through the HierarchyID typeWho This Book Is ForSQL Server developers and application developers who need to store and access complex data structures.