SQL Server Advanced Data Types

1. Front Matter

   Pages i-xv

   PDF

2. SQL Server Data Types

   • Peter A. Carter

   Pages 1-28

3. Understanding XML

   • Peter A. Carter

   Pages 29-48

4. Constructing XML with T-SQL

   • Peter A. Carter

   Pages 49-112

5. Querying and Shredding XML

   • Peter A. Carter

   Pages 113-156

6. XML Indexes

   • Peter A. Carter

   Pages 157-179

7. Understanding JSON

   • Peter A. Carter

   Pages 181-200

8. Constructing JSON from T-SQL

   • Peter A. Carter

   Pages 201-228

9. Shredding JSON Data

   • Peter A. Carter

   Pages 229-250

10. Working with the JSON Data Type

    • Peter A. Carter

    Pages 251-277

11. Understanding Spatial Data

    • Peter A. Carter

    Pages 279-297

12. Working with Spatial Data

    • Peter A. Carter

    Pages 299-340

13. Working with Hierarchical Data and HierarchyID

    • Peter A. Carter

    Pages 341-383

14. Back Matter

    Pages 385-392

    PDF

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 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 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

• XML
• JSON
• CLR
• Hierarchical data
• Spatial data
• HierarchyID
• Data storage and optimization
• Row compression
• Page compression
• XSD Schemas
• XQuery
• XML Indexes
• User Defined Types
• Geometry Data Type

• London, United Kingdom

  Peter A. Carter

​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.

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