sql server advanced data (25 résultats)

Paperback. Etat : 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. .

Etat : New. Brand New. Soft Cover International Edition. Different ISBN and Cover Image. Priced lower than the standard editions which is usually intended to make them more affordable for students abroad. The core content of the book is generally the same as the standard edition. The country selling restrictions may be printed on the book but is no problem for the self-use. This Item maybe shipped from US or any other country as we have multiple locations worldwide.

Etat : Brand New. New.SoftCover International edition. Different ISBN and Cover image but contents are same as US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.

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Etat : Good. Item in good condition. Textbooks may not include supplemental items i.e. CDs, access codes etc.

Etat : Very Good. Item in very good condition! Textbooks may not include supplemental items i.e. CDs, access codes etc.

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Paperback or Softback. Etat : New. SQL Server Advanced Data Types: Json, XML, and Beyond 1.26. Book.

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Paperback. Etat : New.

Paperback. Etat : Brand New. 392 pages. 9.00x6.00x0.75 inches. In Stock.

Etat : very_good. Used with minimal wear, no writing or markings, corners maybe bent, few crease lines.

paperback. Etat : 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.

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Paperback. Etat : Like New. Like New. book.

Paperback / softback. Etat : New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 526.

Kartoniert / Broschiert. Etat : 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. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Develop and run efficient R scripts and predictive models for SQL Server 2017Key Features:Learn how you can combine the power of R and SQL Server 2017 to build efficient, cost-effective data science solutionsLeverage the capabilities of R Services to perform advanced analytics-from data exploration to predictive modelingA quick primer with practical examples to help you get up- and- running with SQL Server 2017 Machine Learning Services with R, as part of database solutions with continuous integration / continuous delivery.Book Description:R Services was one of the most anticipated features in SQL Server 2016, improved significantly and rebranded as SQL Server 2017 Machine Learning Services. Prior to SQL Server 2016, many developers and data scientists were already using R to connect to SQL Server in siloed environments that left a lot to be desired, in order to do additional data analysis, superseding SSAS Data Mining or additional CLR programming functions. With R integrated within SQL Server 2017, these developers and data scientists can now benefit from its integrated, effective, efficient, and more streamlined analytics environment.This book gives you foundational knowledge and insights to help you understand SQL Server 2017 Machine Learning Services with R. First and foremost, the book provides practical examples on how to implement, use, and understand SQL Server and R integration in corporate environments, and also provides explanations and underlying motivations. It covers installing Machine Learning Services;maintaining, deploying, and managing code;and monitoring your services.Delving more deeply into predictive modeling and the RevoScaleR package, this book also provides insights into operationalizing code and exploring and visualizing data. To complete the journey, this book covers the new features in SQL Server 2017 and how they are compatible with R, amplifying their combined power.What You Will Learn:Get an overview of SQL Server 2017 Machine Learning Services with RManage SQL Server Machine Learning Services from installation to configuration and maintenanceHandle and operationalize R codeExplore RevoScaleR R algorithms and create predictive modelsDeploy, manage, and monitor database solutions with RExtend R with SQL Server 2017 featuresExplore the power of R for database administratorsWho this book is forThis book is for data analysts, data scientists, and database administrators with some or no experience in R but who are eager to easily deliver practical data science solutions in their day-to-day work (or future projects) using SQL Server.

Paperback / softback. Etat : New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 680.

Taschenbuch. Etat : 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.

Taschenbuch. Etat : 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.