SQL Server Advanced Data Types : JSON, XML, and Beyond

Peter A. Carter

ISBN 10: 1484239008 / ISBN 13: 9781484239001

Published by Apress, Apress, 2018

About this Item

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. Seller Inventory # 9781484239001

Bibliographic Details

Title: SQL Server Advanced Data Types : JSON, XML, ...

Publisher: Apress, Apress

Publication Date: 2018

Binding: Taschenbuch

Condition: Neu

About this title

Synopsis:

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 Learn

• Understand the implementation of basic data types and why using the correct type is so important
• Work with XML data through the XML data type
  
• Construct XML data from relational result sets
• Store and manipulate JSON data using the JSON data type
  
• Model and analyze spatial data for geographic information systems
  
• Define hierarchies and query them efficiently through the HierarchyID type

Who This Book Is For

SQL Server developers and application developers who need to store and access complex data structures

About the Author:

​Peter Carter is a SQL Server expert with over a decade of experience in developing, administering, and architecting SQL Server platforms and data-tier applications. He was awarded an MCC by Microsoft in 2011. He has MCTS, MCITP, MCSA, and MCSE certifications in SQL Server from version 2005 onward. Peter has written a number of books across a variety of SQL Server topics, including security, high availability, and automation.