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Brilliant work by Sonal! Thanks for the good talk Alexey! Well done 💪💪👌👌🙏🙏
This is excellent work Sonal !!!!!
Thanks Abhijeet!
does this work only with data in English?
Super solutions to mapping customers from different databases. Companies lose a lot of time doing this activity!
Thanks Kunaal
Does the model behave differently for names and addresses from a fuzzy perspective or are all fields treated in the same manner
Hi John, Zingg treats each field based on how you configure its match type (fuzzy/exact..) and how you label the training data.
Can install for spark 2.4 or 2.3
Nice work , does this manage Entity Split - Merge also how can we evaluate it , is there any BMD score which can be generated
Also is there a way for dynamic entity resolution for real time ?
Brilliant work by Sonal! Thanks for the good talk Alexey! Well done 💪💪👌👌🙏🙏
This is excellent work Sonal !!!!!
Thanks Abhijeet!
does this work only with data in English?
Super solutions to mapping customers from different databases. Companies lose a lot of time doing this activity!
Thanks Kunaal
Does the model behave differently for names and addresses from a fuzzy perspective or are all fields treated in the same manner
Hi John, Zingg treats each field based on how you configure its match type (fuzzy/exact..) and how you label the training data.
Can install for spark 2.4 or 2.3
Nice work , does this manage Entity Split - Merge
also how can we evaluate it , is there any BMD score which can be generated
Also is there a way for dynamic entity resolution for real time ?