barcode generator vb.net Developing the Data Protection Plan in Software

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Developing the Data Protection Plan
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Using the Iterative Approach and Setting Milestones
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If you re managing more than a few servers in your environment, you ll find it difficult to implement a new data protection plan for all of them. When dealing with a large task, it s often a good idea to break it into more manageable pieces. A series of smaller tasks has several benefits. First, small successes are psychologically encouraging. If you re not trying to fix all of your problems at once, you can focus on just a few tasks and devote your full attention to them. Second, in prioritizing the milestones, be sure to get management input not only from the IT department, but also from the affected department heads. In developing a data protection plan, the iterative approach involves establishing a baseline plan and then refining it over time. Table 2-3 shows an example of how a complex task protecting data throughout a large organization can be made more manageable. Notice that we start with a baseline (a minimal level of data protection), and then refine the process to make sure that systems are protected appropriately. Then, we focus on improving performance in areas where this can improve the users experience. Finally, we choose to improve upon the data protection plan itself by measuring the effects of changes and feeding them back into the overall strategy. If your environment has any level of data protection, you have probably already met some of the requirements. If that s the case, be sure to document which areas are already
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Task Analyze departmental requirements and form a data protection plan. Verify that all business systems are receiving at least a minimal level of data protection. Fully protect all Marketing servers. Fully protect all Engineering servers. Optimize OLTP backup performance for point-of-sale applications. Evaluate effects of changes and refine the data protection plan based on user feedback. Data Protection Plan Implementation Schedule
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Target Date 03/01/2000 03/17/2000
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Table 2-3.
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taken care of, so that this information is known. Based on this rollout plan, you can tell others what to expect.
Getting Others Involved
In many organizations, the IT department seems to be responsible for creating, implementing, and revising the data protection plan. On the surface, this makes sense. After all, who would better understand the technical issues associated with performing backups than IT staff However, as we saw in 1, the real challenge is in determining business requirements. Department heads and users are likely to understand their real requirements better than anyone else. Combined with the technical expertise of IT, they can come up with a good plan for data protection. Once the basic requirements have been established, it s important to have the users who are affected review the basics of a plan. Surprising insight might be gained from this step. For example, a backup strategy based on full and differential backups might apply perfectly to the Sales group. However, the Engineering department might do full builds of all software on Wednesday nights (thus making a full backup more appropriate). Such information is rarely found in information from the IT department alone.
Archiving
Though we d all like to keep our data online forever, this is often impractical. As mentioned earlier, large amounts of data can be unmanageable. The larger the haystack we have to search through, the less likely it is that we ll find that needle! Also, more online data will slow down business applications and servers, thus affecting the more common operations using current data. Again, when developing a data retention plan, IT and department managers must find the best solution based on costs and resources. A typical archival plan will include provisions for periodically taking data offline and placing it in another repository. It will also include processes for restoring and accessing this information as the need arises.
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