7.3
Repetitive Analysis
Abstract
One of the challenges of analyzing repetitive data is that of identifying and applying universal identifiers. Some typical universal identifiers include Greenwich Mean Time, Julian data, and the US dollar. Security is achieved by using encryption. Because of the volume of data and the fact that most of the repetitive data has limited business value, repetitive data typically needs to be distilled or filtered.
Keywords
Greenwich Mean Time
US dollar
Julian data
universal identifiers
Internal, External Data
Because the cost of storage is so inexpensive with Big Data, it is possible to consider storing data that comes from other than internal sources.
In an earlier day the cost of storage was such that the ...
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