Working with Spark

Working with Spark

  • Working with Big Data in R49:47

    Working with Big Data in R

    R is the go to language for data exploration and development, but what role can R play in production with big data?

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  • Part 1 - Introducing an R interface for Apache Spark46:24

    Part 1 - Introducing an R interface for Apache Spark

    sparklyr facilitates a connection between R and Spark using a full-fledged dplyr backend with support for the entirety of Spark’s MLlib library.

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  • Part 2 - Extending Spark using sparklyr50:55

    Part 2 - Extending Spark using sparklyr

    sparklyr facilitates a connection between R and Spark using a full-fledged dplyr backend with support for the entirety of Spark’s MLlib library.

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  • Part 3 - Advanced features of sparklyr50:33

    Part 3 - Advanced features of sparklyr

    sparklyr facilitates a connection between R and Spark using a full-fledged dplyr backend with support for the entirety of Spark’s MLlib library.

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  • Part 4 - Understanding sparklyr deployment modes46:39

    Part 4 - Understanding sparklyr deployment modes

    sparklyr facilitates a connection between R and Spark using a full-fledged dplyr backend with support for the entirety of Spark’s MLlib library.

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