Introduction to parallel computing with R
By
kassambara,
The
in R Conference
Introduction to parallel computing with R
Source: useR 2017
Source: useR 2017
Articles - Big data
Parallel Computation in R: What We Want, and How We Get It
By
kassambara,
The
in R Conference
This era of Big Data has been a challenge for R users. First there were issues with address spaces restrictions in R itself. Though this problem has been (mostly) solved, major issues remain in terms... [Read more]
R-based Computing with Big Data on Disk
By
kassambara,
The
in R Conference
A common challenge in many areas of data science is the proliferation of large and heterogeneous datasets, stored in disjoint files and specialized formats, and exceeding the available memory of a... [Read more]
implyr: A dplyr Backend for a Apache Impala
By
kassambara,
The
in R Conference
This talk introduces implyr, a new dplyr backend for Apache Impala.
Impala is a massively parallel processing query engine that enables low-latency SQL queries on data stored in the Hadoop... [Read more]
Impala is a massively parallel processing query engine that enables low-latency SQL queries on data stored in the Hadoop... [Read more]