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IT professionals often joke that the way users know a systems administrator is doing his or her job is that they don t realize it. Everything works as expected, so users may not even know that someone had to do hard work to get their systems in that position. With data protection, the same applies. In the best-case scenario, your organization never loses important information and no one ever knows that backups were being performed. No one, that is, except those who have to pay the costs for these functions. If you are a systems or network administrator, one of your major challenges will be to get buy-in from upper management on data-protecting operations. This often is a tough sell, because you can t really offer any tangible benefit. The act of performing backups won t reduce operating costs, and may not present a low total cost of ownership (TCO). However, these functions are good investments. The benefits will be realized only if data loss (due to another problem) occurs. So, part of the challenge in putting together a data protection plan is to educate decision makers on the real benefits of protecting data, and the potential consequences if you don t. As with many good ideas, this might seem like an uphill battle, but the results can pay off in the event of significant data loss or hardware failures.
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In addition to the preceding issues, you ll have to worry about the opinions of others when designing a workable data protection plan. One example is the common plague of many businesses politics. It s very difficult to implement security measures without
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running into a quagmire of differing views and power struggles. Users might want complete freedom (whether or not they actually use it), but don t realize that it comes at a price of potentially serious problems. Others may see no harm in having the ability to modify information stored in large databases. However, with decreased security comes an increase in the likelihood of accidental data loss. Lack of understanding, as mentioned earlier, is one of the main problems. And, organizations compound the problem by placing the emphasis of technical resources on improving performance or implementing new systems. For some individuals, data protection is, at best, a necessary evil. These attitudes can stand in the way of implementing and maintaining an adequate backup and recovery plan. Again, the solution is to educate users and decision makers on the need for tradeoffs between security and capabilities.
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By now, you have probably realized that all of these challenges apply to your organization. Few companies are not bound by financial constraints or technology. Furthermore, all of these constraints are interdependent. Limitations of money may cause human resources limitations. Finally, political issues can cause great constraints even if none of the others apply. Hopefully, I haven t made things look too dismal! Rest assured, your organization is not the only one that is facing these challenges. And, many companies have found very good solutions for them. Now that we have a clear description of the problems and the challenges, let s look at how you can evaluate data protection in your own environment. First, we need to look at how you can evaluate the systems and information on which your company depends.
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In most organizations, computing technology is used to fulfill some business need. For example, an executive might decide that a sales-tracking database would be a valuable asset. So, a database developer builds a backend data repository, and a client-server programmer writes a client-side application that fulfills the business requirements. Systems and network administrators configure servers and clients to support these systems. Hopefully, the application will meet the needs of the company s sales people. Seeing how useful this system is, the company might next decide to implement a system for tracking all transactions that occur at its stores. Again, a backend database and a client application are developed, along with the infrastructure to support them. Now, the company has two systems to manage. This raises some important questions: w s v Should the two functions be combined at the database level How can the overall administration requirements be reduced for this solution Three years from now, will both systems even be needed
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