Successful Data Integration Projects Require A Diverse Approach (may require registration)
Apologies but even though you may have to register (free), I thought this story was worth mentioning.
If just for the observation that ETL (extract, transform, load) is “…a lot like throwing a bomb when all that’s needed is a bullet.” I have a less generous explanation but perhaps another time.
My point here is that data integration is a hot topic and topic maps can be part of the solution set.
No, I am not going to do one of those “…window of opportunity is closing…” routines because:
1) The MDM (master data management) folks haven’t cracked this nut since the 1980’s.
2) The Semantic Web effort, with a decade of hard work, has managed to re-invent the vocabulary problem in URIs. (I still think we should send the W3C a fruit basket.)
3) Every solution is itself an opportunity for subject identity integration with other solutions. (It is a self-perpetuating business opportunity. Next to having an addictive product, the best kind.)
Making topic maps relevant to data integration is going to require that we move away from the file format = topic maps approach.
Customers should understand that topic maps put them in change of managing their data, with their identifications. (With the potential to benefit from other identifications of the same subjects.)
That is the real diversity in data integration.
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