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標(biāo)題: 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 [打印本頁]

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Peter A. Carternt.Written by experts with personal experience in creating aAlthough it is widely recognized that time is of the essence in the management of stroke, there are currently few efficient stroke centers that prospective new centers may emulate. This book offers a concise and practical guide on how to se
作者: inhibit    時間: 2025-3-22 21:12
Peter A. Carternt.Written by experts with personal experience in creating aAlthough it is widely recognized that time is of the essence in the management of stroke, there are currently few efficient stroke centers that prospective new centers may emulate. This book offers a concise and practical guide on how to se
作者: etidronate    時間: 2025-3-23 01:59
Peter A. Carternt.Written by experts with personal experience in creating aAlthough it is widely recognized that time is of the essence in the management of stroke, there are currently few efficient stroke centers that prospective new centers may emulate. This book offers a concise and practical guide on how to se
作者: Dorsal    時間: 2025-3-23 07:09
Peter A. Carternt.Written by experts with personal experience in creating aAlthough it is widely recognized that time is of the essence in the management of stroke, there are currently few efficient stroke centers that prospective new centers may emulate. This book offers a concise and practical guide on how to se
作者: 散布    時間: 2025-3-23 13:45
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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作者: HEAVY    時間: 2025-3-23 20:08
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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作者: glucagon    時間: 2025-3-24 05:23
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.
作者: contradict    時間: 2025-3-24 06:58
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.
作者: Distribution    時間: 2025-3-24 12:25
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.
作者: 懶鬼才會衰弱    時間: 2025-3-24 17:54
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.
作者: 礦石    時間: 2025-3-24 22:27
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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作者: GAVEL    時間: 2025-3-25 08:35
Constructing XML with T-SQL,T-SQL allows you to convert relational results sets into XML, by using the . clause in your . statement. There are four modes that can be used with the . clause; ., ., ., and .. This chapter will demonstrate how the . clause works in . mode, . mode, . mode, and . mode. As the chapter progresses, we will move from simple to more complex examples.
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https://doi.org/10.1007/978-1-4842-3901-8XML; JSON; CLR; Hierarchical data; Spatial data; HierarchyID; Data storage and optimization; Row compressio
作者: 慷慨援助    時間: 2025-3-26 10:43
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.
作者: 火車車輪    時間: 2025-3-26 14:46
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 . attribute
作者: 取之不竭    時間: 2025-3-26 18:25
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.
作者: Wallow    時間: 2025-3-26 21:57
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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Understanding Spatial Data,-tier applications, the ability to construct or interrogate spatial data may be critical. In this chapter, I will give an overview of spatial data and its implementation in SQL Server, before looking at the spatial standards that are used in the SQL Server implementation.
作者: Bravado    時間: 2025-3-27 18:09
Working with Spatial Data, examine how to work with these data types. First, I will discuss the methods that can be used to construct surfaces, before reviewing how to query spatial data. Finally, you will see how to design and create spatial indexes.
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Understanding JSON,milar to XML, in the respect that it is a self-describing, hierarchical data-interchange format. Unlike XML, however, JSON tags are minimal, making JSON documents shorter and both easier to read and quicker to parse.
作者: 巨大沒有    時間: 2025-3-28 16:52
Shredding JSON Data,ent as an input parameter and outputs a tabular result set. The . function can be called either with or without specifying an explicit schema for the result set. . also supports the use of JSON path expressions. This chapter will examine each of these options.
作者: 山間窄路    時間: 2025-3-28 19:04
Book 2018out 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
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作者: 帶子    時間: 2025-3-29 04:04
of one of Europe’s most successful early stroke centers and also have experience of the factors that can undermine the creation of world-class stroke units. This handbook will be an invaluable source of information for every member of the stroke team.978-3-642-21404-2978-3-642-21405-9
作者: 膠狀    時間: 2025-3-29 08:48
Peter A. Carter of one of Europe’s most successful early stroke centers and also have experience of the factors that can undermine the creation of world-class stroke units. This handbook will be an invaluable source of information for every member of the stroke team.978-3-642-21404-2978-3-642-21405-9
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作者: Rebate    時間: 2025-3-30 04:30
Peter A. Carter of one of Europe’s most successful early stroke centers and also have experience of the factors that can undermine the creation of world-class stroke units. This handbook will be an invaluable source of information for every member of the stroke team.978-3-642-21404-2978-3-642-21405-9




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