پرس و جو XML، : XQuery را ، XPath و SQL XML در زمینه ( مورگان کافمن سری در سیستم های مدیریت داده ها) / Querying XML, : XQuery, XPath, and SQL XML in context (The Morgan Kaufmann Series in Data Management Systems)

پرس و جو XML، : XQuery را ، XPath و SQL XML در زمینه ( مورگان کافمن سری در سیستم های مدیریت داده ها) Querying XML, : XQuery, XPath, and SQL XML in context (The Morgan Kaufmann Series in Data Management Systems)

  • نوع فایل : کتاب
  • زبان : انگلیسی
  • نویسنده : Jim Melton ,Stephen Buxton
  • چاپ و سال / کشور: 2006
  • شابک / ISBN : 1558607110, 9781558607118, 9780080540160

Description

XML has become the lingua franca for representing business data, for exchanging information between business partners and applications, and for adding structure-and sometimes meaning-to text-based documents. XML offers some special challenges and opportunities in the area of search: querying XML can produce very precise, fine-grained results, if you know how to express and execute those queries.For software developers and systems architects: this book teaches the most useful approaches to querying XML documents and repositories. This book will also help managers and project leaders grasp how "querying XML" fits into the larger context of querying and XML. Querying XML provides a comprehensive background from fundamental concepts (What is XML?) to data models (the Infoset, PSVI, XQuery Data Model), to APIs (querying XML from SQL or Java) and more. * Presents the concepts clearly, and demonstrates them with illustrations and examples; offers a thorough mastery of the subject area in a single book. * Provides comprehensive coverage of XML query languages, and the concepts needed to understand them completely (such as the XQuery Data Model).* Shows how to query XML documents and data using: XPath (the XML Path Language); XQuery, soon to be the new W3C Recommendation for querying XML; XQuery's companion XQueryX; and SQL, featuring the SQL/XML * Includes an extensive set of XQuery, XPath, SQL, Java, and other examples, with links to downloadable code and data samples.
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