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White PaperSurviving the Perfect Storm - page 4 Alternatives:
Finding New Harbors One of the first things to consider (or reconsider) is data management treatment. How do you use and effectively manage different types of data? Figure 3 classifies data management treatment into a framework with four distinct categories of information processing. Each category requires different software and technology.
First, there’s active versus supportive data. You must keep active data fresh and current because it’s used by operational procedures. In contrast, you may derive supportive data and refresh it periodically (for example, nightly or weekly). Informational and analytical applications use supportive data. Next, there’s high-speed versus high-volume storage. High-speed storage typically consists of rotating disk memories that allow access to small amounts of data in milliseconds. High-volume storage, such as FileTek’s StorHouse....data management solution, typically deploys multiple media (disk, optical and tape) and allows very large amounts of data to be accessed in seconds to minutes, depending on the configuration.
Aging details like clickstream logs, order entry line items, call event detail records, inactive account descriptions, audit summary backups, and many other file segments that do require sub-second retrieval rates can be allocated to more cost-effective, high-volume storage.
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In
most cases, the majority of enterprise data does not need to be maintained
in an active profile on high-speed storage media. As Figure 4 indicates,
as little as 15% of the total data resource may be all that is required
by real-time operations, depending on their applications.