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SQL Server Advanced Data ­Types
Json, XML, and Beyond

Rating
Format
Paperback, 392 pages
Published
United States, 1 August 2018


Chapter 1. SQL Server Data Types

1) Exact Numbers

2) Approximate Numbers

3) Character Strings

4) Binary Strings

5) Date and Time Types

6) Other Data Types


Chapter 2. Data Storage and Optimization

1) SQL Server Storage Structures

2) Row and Page Compression

3) Sparse Columns

4) In-Memory Optimized Tables


Chapter 3. Understanding XML

1) Understanding XML Markup

2) Understanding XSD Schemas

3) XML Usage Scenarios


Chapter 4. Constructing XML with T-SQL

1) FOR XML RAW

2) FOR XML AUTO

3) FOR XML PATH

4) FOR XML EXPLICIT

Chapter 5. Querying and Shredding XML
1) Querying XML with XQuery
2) Shredding XML
3) Using Schemas
Chapter 6. XML Indexes
1) Primary XML Indexes
2) Secondary XML Indexes
Chapter 7. Understanding JSON
1) Understanding the JSON format
2) JSON Usage Scenarios
Chapter 8. Working with the JSON Data Type
1) FOR JSON
2) Querying JSON Data
3) Indexing JSON Data
Chapter 9. Understanding Spatial Data
1) Understanding Spatial Data Types
2) Spatial Data Usage Scenarios
3) Spatial Data Standards
Chapter 10. Working with Spatial Data Types
1) Using the Geometry Data Type
2) Using the Geography Data Type
3) Indexing Spatial Data
Chapter 11. Working with Hierarchical Data and HierarchyID
1) Hierarchical Data Usage Scenarios
2) Modelling Traditional Hierarchies
3) Working With the HierarchyID Data Type
4) Using HierarchyID Methods
Chapter 12. User Defined Types
1) Creating Data Types
2) Importing Data Types Into SQL Server

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Product Description


Chapter 1. SQL Server Data Types

1) Exact Numbers

2) Approximate Numbers

3) Character Strings

4) Binary Strings

5) Date and Time Types

6) Other Data Types


Chapter 2. Data Storage and Optimization

1) SQL Server Storage Structures

2) Row and Page Compression

3) Sparse Columns

4) In-Memory Optimized Tables


Chapter 3. Understanding XML

1) Understanding XML Markup

2) Understanding XSD Schemas

3) XML Usage Scenarios


Chapter 4. Constructing XML with T-SQL

1) FOR XML RAW

2) FOR XML AUTO

3) FOR XML PATH

4) FOR XML EXPLICIT

Chapter 5. Querying and Shredding XML
1) Querying XML with XQuery
2) Shredding XML
3) Using Schemas
Chapter 6. XML Indexes
1) Primary XML Indexes
2) Secondary XML Indexes
Chapter 7. Understanding JSON
1) Understanding the JSON format
2) JSON Usage Scenarios
Chapter 8. Working with the JSON Data Type
1) FOR JSON
2) Querying JSON Data
3) Indexing JSON Data
Chapter 9. Understanding Spatial Data
1) Understanding Spatial Data Types
2) Spatial Data Usage Scenarios
3) Spatial Data Standards
Chapter 10. Working with Spatial Data Types
1) Using the Geometry Data Type
2) Using the Geography Data Type
3) Indexing Spatial Data
Chapter 11. Working with Hierarchical Data and HierarchyID
1) Hierarchical Data Usage Scenarios
2) Modelling Traditional Hierarchies
3) Working With the HierarchyID Data Type
4) Using HierarchyID Methods
Chapter 12. User Defined Types
1) Creating Data Types
2) Importing Data Types Into SQL Server

Show more
Product Details
EAN
9781484239001
ISBN
1484239008
Publisher
Other Information
Illustrated
Dimensions
23.4 x 15.6 x 2.1 centimeters (0.62 kg)

Table of Contents

1. SQL Server Data Types.- 2. Understanding XML.- 3. Constructing XML with T-SQL.- 4. Querying and Shredding XML.- 5. XML Indexes.- 6. Understanding JSON.- 7. Constructing JSON from T-SQL.- 8. Shredding JSON Data.- 9. Working with the JSON Data Type.- 10. Understanding Spatial Data.- 11. Working with Spatial Data.- 12. Working with Hierarchical Data with HierarchyID.

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.

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