R is the latest language added to Apache Spark, and the SparkR API is slightly different from PySpark. SparkR’s evolving interface to Apache Spark offers a wide range of APIs and capabilities to Data Scientists and Statisticians. With the release of Spark 2.0, and subsequent releases, the R API officially supports executing user code on distributed data. This is done primarily through a family of apply() functions.
In this Data Science Central webinar, we will explore the following:
●Provide an overview of this new functionality in SparkR.
●Show how to use this API with some changes to regular code with dapply().
●Focus on how to correctly use this API to parallelize existing R packages.
●Consider performance and examine correctness when using the apply family of functions in SparkR.
Speaker: Hossein Falaki, Software Engineer -- Databricks Inc.
Hosted by: Bill Vorhies, Editorial Director -- Data Science Central