How do you deal with integrating data from heterogeneous sources that do not share common keys?
In the previous installment of this series (see my column in the August issue of DM Review), we examined some of the various data integration strategies for matching and integrating data between heterogeneous source systems when no common data elements exist to facilitate the process. In the second part of this series, we will look at the logic needed to implement a fuzzy logic data matching method and some of the details that need to be considered before attempting this process.
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