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I was honored and humbled to have been the maintainer of sparklyr, working with Javier and others on sparklyr and sparklyr-related efforts during my time at RStudio. I take pride in my work, and I hope data-science practitioners will find sparklyr useful in making their data pipelines scalable and extensible.
I also occasionally work on other R-related projects (e.g., sparklyr.flint at the moment, and had some brief experience with sparkxgb before that).

1 sponsor has funded yitao-li’s work.

@hal9ai

Featured work

  1. sparklyr/sparklyr

    R interface for Apache Spark

  2. r-spark/sparklyr.flint

    Sparklyr extension making Flint time series library functionalities (https://github.com/twosigma/flint) easily accessible through R

    R 9

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