sparklyr

R interface to Apache Spark, a fast and general engine for big data processing, see <http://spark.apache.org>. This package supports connecting to local and remote Apache Spark clusters, provides a 'dplyr' compatible back-end, and provides a

相關軟體 Baidu Spark Browser 下載

Baidu Spark Browser is based on Chromium, the same engine which runs Google Chrome. Although Baidu Spark Browser has a standard design, it does have some nice features such as changeable skins and a ...

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  • We’re excited today to announce sparklyr, a new package that provides an interface between...
    sparklyr — R interface for Apache Spark | RStudio Blog
    https://blog.rstudio.com
  • R interface to Apache Spark, a fast and general engine for big data processing, see . This...
    sparklyr : R Interface to Apache Spark
    https://mran.microsoft.com
  • R interface to Apache Spark, a fast and general engine for big data processing, see <ht...
    sparklyr: R Interface to Apache Spark - The Comprehensive R ...
    https://cran.r-project.org
  • The returned Spark connection (sc) provides a remote dplyr data source to the Spark cluste...
    GitHub - rstudiosparklyr: R interface for Apache Spark
    https://github.com
  • Introduction The sparklyr package provides a dplyr interface to Spark DataFrames as well a...
    Creating Extensions for sparklyr - R Interface to Apache ...
    https://spark.rstudio.com
  • Tom Zeng is a Solutions Architect for Amazon EMR The recently released sparklyr package by...
    Running sparklyr – RStudio’s R Interface to Spark on Amazon ...
    https://aws.amazon.com
  • Progress bars and Spark UI with sparklyr If you assign the sparklyr connection object to a...
    sparklyr ¶ - Welcome to Databricks — Databricks ...
    https://docs.databricks.com
  • Does someone have an overview with respect to advantages/disadvantages of SparkR vs sparkl...
    SparkR vs sparklyr - Stack Overflow
    https://stackoverflow.com
  • Additional changes and improvements can be found in the sparklyr NEWS file. One can also g...
    sparklyr 0.6 | RStudio Blog
    https://blog.rstudio.com