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db4o is most likely to be used in applications where there is no legacy data, which is to say no existing data architectures to integrate. This is primarily the case with applications that run on clients or on middleware. There are no technical reasons why it can t be used in the enterprise data center, but it is more difficult to introduce a new, agile solution into the world of legacy RDBMSs and DBAs who are highly trained in their use, and of course legacy data and multiple applications that need to access the same data are far more prevalent in enterprise systems. While db4o can provide a persistence solution for any application developed using Java or .NET, there are particular areas where it is a good fit. These tend to have one or more of the following characteristics.

The interface created by Readocr.cpl is unique to that program. Other CPL programs that perform different procedures will prompt you for different information and will use different interfaces. You might wish to create a sample database, and activate various CPLs, to test how they work and to examine their results. As with any procedure that involves bulk processing and modification of data, you re strongly advised to make a complete backup of a database before a CPL is invoked.

An object database is particularly well suited to handling complex and evolving object structures, which can become a maintenance nightmare with a relational database. db4o is designed to handle schema evolution easily, and requires no database administration. It has been chosen for large-scale developments in biomedical industries, finance, transportation, and utilities.

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With this chapter, we explore a set of features that are less stable and less firmly defined than the features discussed in previous chapters This and all following chapters present features that are at the time of writing still work in progress But they introduce amazing possibilities and we therefore cannot ignore them Some of the features have implementations in browsers, but no specification text in the HTML5 and related standards Others have draft specification text in the WHATWG or W3C documents, but no implementations have confirmed the suitability of the specifications yet In this chapter we look at some of the work being done for a Web audio API In the last few chapters we have investigated many features that allow us to manipulate the image data that is provided by videos.

Summary

db4o is designed to be embedded in clients or other software components completely invisible to the end user. No installation is required just the deployment of a single library file about 400KB in size. The database is part of the application, so if the application is running, the database is running. The compactness and cross-platform capability make db4o well suited to applications in PDAs, smartphones, and so on. Compared to other embeddable SQL database engines like IBM s Cloudscape, db4o has the pure object database advantages of simplicity and maintainability.

The audio API complements this by providing features to manipulate the sound data that is provided by the audio track of videos or by audio resources This will enable the development of sophisticated Web-based games or audio production applications where the audio is dynamically created and modified in JavaScript It also enables the visualization of audio data and the analysis of the data, for example to determine a beat or identify which instruments are playing or whether a voice you are hearing is female or male A W3C Audio Incubator Group has been formed to focus on creating an extended audio API Currently, a draft specification exists1 which is under discussion At the same time, the released Firefox 4 includes an implementation of a more basic audio data API 2.

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