Sql Server Advanced Data (31 results)

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Paperback. Condition: New. 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 growing support 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.

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paperback. Condition: New. Paperback. Pub Date: October 2011 Pages: 312 Language: Chinese in Publisher: China Water Power Press SQL Server 2008 R2: Data Mining and Business Intelligence Basic and Advanced Case combat comprehensive introduction to the basic concepts of data mining and business intelligence and principles. including the classical theory of trends in development and in-depth description of the various data mining technology and typical applications. By SQL Server 2008 R2: data mining and business intellig.

Taschenbuch. Condition: Neu. SQL Server Advanced Data Types | JSON, XML, and Beyond | Peter A. Carter | Taschenbuch | xv | Englisch | 2018 | Apress | EAN 9781484239001 | Verantwortliche Person für die EU: APress in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Paperback. Condition: New. 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 growing support 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.

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Taschenbuch. Condition: 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.

Condition: 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.

Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Microsoft has been steadily adding support for advanced data types into their database engine, and many developers and database administrators are not fully aware of what these new types can provide in the way of optimization and speeding development time. This book introduces readers to the growing amount of support within SQL Server for operations and data transformations that until now required third-party software and all the associated licensing and development costs. Readers 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.Libri GmbH, Europaallee 1, 36244 Bad Hersfeld 408 pp. Englisch.

Taschenbuch. Condition: 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.

Taschenbuch. Condition: Neu. SQL Server 2017 Machine Learning Services with R | Data exploration, modeling, and advanced analytics | Toma¿ Ka¿trun (u. a.) | Taschenbuch | Kartoniert / Broschiert | Englisch | 2018 | Packt Publishing | EAN 9781787283572 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.