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Information about servlets, including tutorials, standard speci cations, and software, is available on javasuncom/products/servlet Information about JSP is available at javasuncom/products/jsp An early proposal for a database-system benchmark (the Wisconsin benchmark) was made by Bitton et al [1983] The TPC-A,-B, and -C benchmarks are described in Gray [1991] An online version of all the TPC benchmarks descriptions, as well as benchmark results, is available on the World Wide Web at the URL wwwtpcorg; the site also contains up-to-date information about new benchmark proposals Poess and Floyd [2000] gives an overview of the TPC-H, TPC-R, and TPC-W benchmarks The OO1 benchmark for OODBs is described in Cattell and Skeen [1992]; the OO7 benchmark is described in Carey et al [1993] Kleinrock [1975] and Kleinrock [1976] is a popular two-volume textbook on queueing theory Shasha [1992] provides a good overview of database tuning O Neil and O Neil [2000] provides a very good textbook coverage of performance measurement and tuning The ve minute and one minute rules are described in Gray and Putzolu [1987] and Gray and Graefe [1997] Brown et al [1994] describes an approach to automated tuning Index selection and materialized view selection are addressed by Ross et al [1996], Labio et al [1997], Gupta [1997], Chaudhuri and Narasayya [1997], Agrawal et al [2000] and Mistry et al [2001] The American National Standard SQL-86 is described in ANSI [1986] The IBM Systems Application Architecture de nition of SQL is speci ed by IBM [1987] The standards for SQL-89 and SQL-92 are available as ANSI [1989] and ANSI [1992] respectively For references on the SQL:1999 standard, see the bibliographical notes of 9
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Silberschatz Korth Sudarshan: Database System Concepts, Fourth Edition
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The X/Open SQL call-level interface is de ned in X/Open [1993]; the ODBC API is described in Microsoft [1997] and Sanders [1998] The X/Open XA interface is de ned in X/Open [1991] More information about ODBC, OLE-DB, and ADO can be found on the Web site wwwmicrosoftcom/data, and in a number of books on the subject that can be found through wwwamazoncom The ODMG 30 standard is de ned in Cattell [2000] ACM Sigmod Record, which is published quarterly, has a regular section on standards in databases, including benchmark standards A wealth of information on XML based standards is available online You can use a Web search engine such as Google to search for more detailed and up-to-date information about the XML and other standards Loeb [1998] provides a detailed description of secure electronic transactions Business process reengineering is covered by Cook [1996] Kirchmer [1999] describes application implementation using standard software such as Enterprise Resource Planning (ERP) packages Umar [1997] covers reengineering and issues in dealing with legacy systems
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There are many Web development tools that support database connectivity through servlets, JSP, Javascript, or other mechanisms We list a few of the better-known ones here: Java SDK from Sun (javasuncom), Apache s Tomcat (jakartaapacheorg) and Web server (apacheorg), IBM WebSphere (wwwsoftwareibmcom), Microsoft s ASP tools (wwwmicrosoftcom), Allaire s Coldfusion and JRun products (wwwallairecom), Caucho s Resin (wwwcauchocom), and Zope (wwwzopeorg) A few of these, such as Apache, are free for any use, some are free for noncommercial use or for personal use, while others need to be paid for See the respective Web sites for more information
Silberschatz Korth Sudarshan: Database System Concepts, Fourth Edition
VII Other Topics
22 Advanced Querying and Information Retrieval
The McGraw Hill Companies, 2001
C H A P T E R
Advanced Querying and Information Retrieval
Businesses have begun to exploit the burgeoning data online to make better decisions about their activities, such as what items to stock and how best to target customers to increase sales Many of their queries are rather complicated, however, and certain types of information cannot be extracted even by using SQL Several techniques and tools are available to help with decision support Several tools for data analysis allow analysts to view data in different ways Other analysis tools precompute summaries of very large amounts of data, in order to give fast responses to queries The SQL:1999 standard now contains additional constructs to support data analysis Another approach to getting knowledge from data is to use data mining, which aims at detecting various types of patterns in large volumes of data Data mining supplements various types of statistical techniques with similar goals Textual data, too, has grown explosively Textual data is unstructured, unlike the rigidly structured data in relational databases Querying of unstructured textual data is referred to as information retrieval Information retrieval systems have much in common with database systems in particular, the storage and retrieval of data on secondary storage However, the emphasis in the eld of information systems is different from that in database systems, concentrating on issues such as querying based on keywords; the relevance of documents to the query; and the analysis, classi cation, and indexing of documents This chapter covers decision support, including online analytical processing and data mining and information retrieval
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