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Databases have been popular on personal computers since the early days of the IBM PC. Ashton-Tate's dBASE product reached an installed base of over one million MSDOS-based PCs. Although these early PC databases often presented data in tabular form, they lacked the full power of a relational DBMS and a relational database language such as SQL. The first SQL-based PC databases were versions of popular minicomputer products that barely fit on personal computers. For example, Professional Oracle for the IBM PC, introduced in 1984, required two megabytes of memory well above the typical

People can be a costly but irreplaceable resource. In fact, they re probably one of your business s greatest strengths. In recent years, finding and retaining qualified information technology professionals has been a topic of great concern in many organizations. When it comes to protecting information, you ll need people to make sure that your systems are configured properly and to plan, test, and manage these solutions. Thus, the lack of qualified people is another constraint that your data protection policy needs to take into account. One of the most common excuses for not performing backups (and even more so for not testing them) is that There s just not enough time to do it all. To make the case worse for performing backups, the job itself is almost invisible if things are going well, people see only that you re not performing other jobs during the time spent implementing and managing data security measures. This is in sharp contrast to other IT functions, such as implementing new systems, supporting users, and optimizing performance all of which are the kinds of things you re likely to be rewarded for doing. The attitude that I ve got better things to do than manage a stack of tapes might never cause any problems in your environment. That s very unlikely, though. As already mentioned, data loss is a very real risk. So, the challenge becomes having the time and expertise to implement and maintain a suitable data protection plan.

Occasionally, there appear to be dimension attributes that defy classification using the standard 1/2/3 designations Analytic requirements sometimes call for freezing an attribute value, most often to preserve its original state It might be argued that this represents a fourth kind of slow change response, where the response is to do nothing at all Careful study of these attributes reveals that they fit within the existing framework Most frozen attributes can be defined as type 1 attributes by carefully stating how they are computed If a policy dimension includes a column that records the policy holder s age at the time the policy went into effect, you might say that age is frozen once the policy is signed.

Even if all of these constraints don t affect you (which is highly unlikely), you are still bound by the laws of physics and our understanding of them. For example, it is very difficult to fully protect against natural disasters in a single location. Being able to predict all natural disasters within the amount of time required to avoid them is not something humans will be able to do in the foreseeable future. Technical constraints apply to our information systems, as well. For example, at the hardware level, media has a finite capacity, and hardware has real performance limitations. Although new technologies try to keep pace with requirements, the increasing demands that are placed on computing systems make it difficult. The most common issue is that, even with some of the most advanced solutions on the market (which are quite costly), simply too much information exists to manage it practically. So, compromises must be made. Instead of making sure that data is backed up every second, we choose to back up data every day. And, instead of protecting all the information on all of your business systems, you must concede that some information can be replaced the hard way. Again, if you make compromises, be sure that you document why and how they were determined. Enumerating the drawbacks beforehand can go a long way in protecting technical staff from taking the blame for poor business decisions. However, keep in mind that tradeoffs are necessary, due to technological limitations.

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