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NLP to work on a subject area similar to a data set
Description
NLP to work directly on a subject area similar to a data set.
Use Case and Business Need
Ability to query a subject area using NLP directly
Original Idea Number: 10fa816c81
Comments
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This is an incredible feature in a dataset , but to use this feature on already built reports and to work directly on the data that is already loaded in to the warehouse will be very helpful
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NLP already works on Subject Areas. Given that those are enterprise sources, the activation of the index is done by an admin (it is active by default) and not by the user.
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Thanks for the clarification Gabby, how about the right click explain feature set will that work on the subject areas and the data that is in the warehouse?
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Our new OAC users are really eager to use the NLP/NLG and Explain available in OAC. But they want to use it with curated/coporate data (data coming from subject areas), with security applied so the insights are relevant for them.
This is why we see key that this functionality can be used for subject areas too, not only for data sets.
Thank you very much.
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Great idea. Only caution will be the performance. By indexing so many data sets and Subject areas, is it going to slow down the performance?
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I believe this can be achieved by an appropriate sampling of the data and metadata, along with pushing down the integration of NLP algorithms into said source databases should be able to achieve this and the performance limit will be based upon the database that you are running NLP against.
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That was raised and responded to in a different idea
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