Titlebook: SQL Server Advanced Data Types; JSON, XML, and Beyon Peter A. Carter Book 2018 Peter A. Carter 2018 XML.JSON.CLR.Hierarchical data.Spatial

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Peter A. Carter actively applying content during their didactic years can enhance academic achievement, promote retention and application of knowledge, enhance understanding and mastery of course content, improve critical thinking and problem solving, augment clinical competencies, enhance interpersonal skills, pr

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Peter A. Carterteam-baseded learning to all disciplines within higher educa.This volume provides step-by-step instruction in creating a Team-Based Learning (TBL) module or course. In clear and concise language, the authors describe the content and purpose of each component of a TBL instructional unit. Using the pr

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SQL Server Data Types,s chapter, I will review each of the basic data types available in SQL Server, looking at the differences between similar data types. I will also discuss the importance of using the correct data type for each use case.

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Understanding XML, XML consists of tags. Unlike HTML, however, these tags are not predefined. Instead, they are defined by the document author. An XML document has a tree structure, beginning with a root node and containing child nodes (also known as child elements). Each element can contain data but also . attributes.

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Querying and Shredding XML,r, I will discuss how to use XQuery to filter, extract, and modify XML. I will also discuss shredding XML, which is the process of converting XML data into relational results sets. Finally, an overview of how to bind an XSD schema to a column of data type XML is provided.

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XML Indexes,ther large object types, it can store up to a maximum of 2GB per tuple. Although standard operators such as . and . can be used against XML columns, you also have the option of using . expressions (discussed in this chapter). They can be rather inefficient, however, unless you create XML indexes.

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Constructing JSON from T-SQL,ata from relational results sets. This is useful for exchanging data between SQL Server and traditional programming languages. Unlike ., however, . only offers two modes: . and .. This chapter discusses the use of the . clause in both . mode and . mode.

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