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There are several alternatives to this implementation that are worth considering. For very simple data storage needs, you may be able to get by with serializing your data to a plist file using the NSCoder APIs. This has the advantage of being as simple as a call to writeToFile:atomically:. The disadvantage is that the entire data set has to be loaded into memory each time, and there is no built-in way to search through the objects and bring back just the necessary set. This isn t recommended for storing more than a handful of records. If your application has higher data demands, there are other higher-end alternatives as well. It seems like every time I check, there are a few more floating around to handle this. The two I m familiar with are FMDB and Apple s implementation of an object graph persistence framework: Core Data. FMDB is roughly equivalent to the ISDatabase class, with some code to handle more automatic retries, the option to store prepared statements for a speed boost, and handling for more SQLite error states. It s a solid implementation, and you wouldn t be remiss in using this as the basis for an Active Record variant of your own. Core Data is Apple s persistence framework. It has built-in Xcode support for creating schemas and migrations visually. It is fast, robust, and available as of iPhone SDK 3.0.

Figure 5-10 Tape library Many data centers now use cartridges that look like the old eighttrack tapes and hold significantly more data than the reels shown here.

The key breakthrough for string theory and black holes involved the derivation of black hole entropy from the microscopic states for an extremal black hole in D = 5 dimensions. In that case the metric can be written as

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Data General, the minicomputer was born (Figure 5-12). The minicomputer made it possible for individual departments in a corporation, or even small corporations, to take charge of their own computer destinies and not be shackled to the centralized data centers of yore. It carried with it a price, of course: Not only did these companies or organizations lose their dependency on the data center, they also lost the centralized support that came with it. So there was a downside to this evolution. The real evolution, of course, came with the birth of the personal computer. Thanks to Bill Gates and his concept of a simple operating system (DOS) and to Steve Jobs with his vision of computing for the masses, truly ubiquitous computing became a reality. From the perspective of the individual user, this evolution was unparalleled. The revolution began in

(14.20)

Being used to SQL, I find myself more comfortable in that world. If you re less familiar with SQL, then this should be the first persistence framework that you try if you are looking for something to handle the heavy lifting for you. I suggest using the SQLite persistence store option; it is generally better at handling larger data sets efficiently and has no real drawbacks.

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For the extremal black hole in ve dimensions, the relation between mass and charge becomes m= Q 3 rE2 = 4G5 G5 (14.21)

Summary

As long as we are on the subject of Raman Scattering, we should introduce the concept of optical amplification. This may seem like a bit of a non sequitur, but it really isn t; true optical amplification actually uses a form of Raman Scattering to amplify the transmitted signal!

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In a traditional metallic analog environment, transmitted signals tend to weaken over distance. To overcome this problem, amplifiers are placed in the circuit periodically to raise the power level of the signal. There is a problem with this technique, however: In addition to amplifying the signal, amplifiers also amplify whatever cumulative noise has been picked up by the signal during its trip across the network. Over time, it becomes difficult for a receiver to discriminate between the actual signal and the noise embedded in the signal. Extraordinarily complex recovery mechanisms are required to discriminate between optical wheat and noise chaff. In digital systems, regenerators are used to not only amplify the signal, but to also remove any extraneous noise that has been picked up along the way. Thus, digital regeneration is a far more effective signalrecovery methodology than is simple amplification.

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