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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

The McGraw Hill Companies, 2001

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

Capture Publish to Web Scene detector Audio studio Time warp Output to video Author DVD FIGURE 15-1

1 40 70 = j4 70 j(100)(1/10)

Database applications can be broadly classi ed into transaction processing and decision support, as we have seen earlier in Section 2132 Transaction-processing systems are widely used today, and companies have accumulated a vast amount of information generated by these systems

The McGraw Hill Companies, 2001

22

In most cases the Roxio VideoWave Power Edition window is divided between the sections that you see in Figure 15-1 Let s take a close look at the purpose of the various areas in this window: The toolbar along the left side of the Roxio VideoWave Power Edition window provides you with access to all of the functions of the program You can learn the purpose of any of the buttons by simply holding the mouse pointer over the button for a few seconds until a small caption displays The storyline near the top of the Roxio VideoWave Power Edition window is where you assemble your movie You drag-and-drop video clips or image files onto the windows on the storyline If you drop a clip onto one of the windows that already contains a clip, the existing clips will move to the right to make room for the new clip When you want to add transitions between two scenes, you drag-and-drop the transition into the area between the two clips The library is the area in the left half of the Roxio VideoWave Power Edition window where your captured or imported movie clips appear so that you can use them in your movies If you right-click one of the clips in the library, you will open the pop-up menu shown here (although the Show Scenes option will appear only if you have used the scene detection option to split the clip into scenes)

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