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Using XML to transport relational data
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In fact, the samples published to http:/ /www.manning.com/SQLServerMVPDeep Dives have been created using two InfoPath forms based on the Album and the Band XML Schemas. These forms can also be downloaded from http://www.manning.com/ SQLServerMVPDeepDives.
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Even though this chapter spans several diverse subjects, it s not as diverse as the reality it tries to imitate. We left a few gaps; for one, we haven t considered all the facts about the discography business that can be observed in reality. Here are some things you could do to improve this solution:
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Create additional sample data: Use the editor of your choice to add data to the sample XML entities. Design InfoPath forms based on the XML Schemas designed in this chapter. Design a custom client application implementing the XML Schemas and SQL procedures designed in this chapter. Extend the entities with additional attributes: Track Duration. Album Description. Lyrics. Think about other facts about discographies: Tracks aren t performed by Bands; they re performed by Musicians. Sometimes, Bands hire additional Musicians who aren t Band Members to help them record. Musicians play (different) Instruments and perform in different Roles as Band Members. Persons join the Band at some time, and they can also leave the Band at some time. They can even join and leave a Band more than once. More people are involved in making an Album than Authors and Artists. Bands can share a Name, yet Bands with the same name rarely share their Origin. Think about data management as presented in this chapter and data management in general: Could the existing processes be optimized Could the error handling in the procedures be improved in any way What would be needed to support all data management operations (such as including Delete) What other possibilities in terms of data analysis does the data model provide Think about other possibilities of retrieving Album and/or Band data as XML corresponding to the appropriate XML Schema.
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We took a real-life business and analyzed it, and interviewed an (imaginary) expert in the business and summarized his responses. We then collected all the facts and used them to design the logical model of the forthcoming software solution. After applying a bit of good old normalization magic, we transformed the logical model into a physical model that we could then implement in the form of a SQL Server database, and also in the form of two XML Schemas. The Discography database will serve as permanent storage for our discography data, and the schema-governed XML will serve as temporary storage and provide a way of transporting the data in and out of the permanent data store. We ve seen examples of the XML retrieval functionalities provided in Microsoft SQL Server s T-SQL language. Essential information was provided regarding the XML standard, the XML Schema, the XML Query (or XQuery), the XPath expression and XPath predicates, and last but not least, the XML namespaces. This essential information provides a first step into the world of XML, and shows ways of bridging the gap between the world of XML and the world of SQL, using SQL Server 2005 or later.
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Matija Lah graduated at the Faculty of Law at the University of Maribor, Slovenia, in 1999. As a lawyer with extensive experience in IT, in 2001 he joined IUS SOFTWARE d.o.o., the leading provider of legal information in Slovenia, where he first came into contact with Microsoft SQL Server. In 2005, he decided to pursue a career as a freelance consultant in the domain of general, business, and legal information. In 2006 this led him to join AI-in-Law Future Technologies, Inc., a company that applies artificial intelligence to the legal information domain. Based on his continuous contributions to the SQL community, Microsoft gave him the Most Valuable Professional award for SQL Server in 2007.
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