Something I've been wondering about for a while now... Would it be possible to train an algorithm to identify similar characteristics of data from different schema? Looking at the actual data, I mean, and inferring a translation table or the like?
I have a background in data engineering and don't really know where I'd get started. But if you could figure out a way to throw differently schema'd data at an algorithm and have it try to create a universal schema, you'd be wealthy.
There would be a ton of challenges, but the problem you described seems like a societally valuable one to solve.
I have a background in data engineering and don't really know where I'd get started. But if you could figure out a way to throw differently schema'd data at an algorithm and have it try to create a universal schema, you'd be wealthy.
There would be a ton of challenges, but the problem you described seems like a societally valuable one to solve.