Open-Source Spotlight - Zingg - Sonal Goyal

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  • Опубликовано: 10 сен 2024

Комментарии • 11

  • @salmantabatabai
    @salmantabatabai Год назад

    Brilliant work by Sonal! Thanks for the good talk Alexey! Well done 💪💪👌👌🙏🙏

  • @damtree2
    @damtree2 2 года назад +2

    This is excellent work Sonal !!!!!

  • @AnasKhalilanaskhl
    @AnasKhalilanaskhl 6 дней назад

    does this work only with data in English?

  • @KunaalNaik
    @KunaalNaik 2 года назад +2

    Super solutions to mapping customers from different databases. Companies lose a lot of time doing this activity!

  • @johnmotler3939
    @johnmotler3939 2 года назад +1

    Does the model behave differently for names and addresses from a fuzzy perspective or are all fields treated in the same manner

    • @sonalgoyal
      @sonalgoyal 2 года назад +1

      Hi John, Zingg treats each field based on how you configure its match type (fuzzy/exact..) and how you label the training data.

  • @rupeshdeoria1
    @rupeshdeoria1 6 месяцев назад

    Can install for spark 2.4 or 2.3

  • @NaveenMansur
    @NaveenMansur Год назад

    Nice work , does this manage Entity Split - Merge
    also how can we evaluate it , is there any BMD score which can be generated

  • @NaveenMansur
    @NaveenMansur Год назад

    Also is there a way for dynamic entity resolution for real time ?