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R Tip: Give data.table a Try

If your R or dplyr work is taking what you consider to be a too long (seconds instead of instant, or minutes instead of seconds, or hours instead of minutes, or a day instead of an hour) then try data.table. For some tasks data.table is routinely faster than alternatives at […]

John Mount speaking on rquery and rqdatatable

rquery and rqdatatable are new R packages for data wrangling; either at scale (in databases, or big data systems such as Apache Spark), or in-memory. The packages speed up both execution (through optimizations) and development (though a good mental model and up-front error checking) for data wrangling tasks. Win-Vector LLC‘s […]

rqdatatable: rquery Powered by data.table

rquery is an R package for specifying data transforms using piped Codd-style operators. It has already shown great performance on PostgreSQL and Apache Spark. rqdatatable is a new package that supplies a screaming fast implementation of the rquery system in-memory using the data.table package. rquery is already one of the […]

rquery: SQL from R

My BARUG rquery talk went very well, thank you very much to the attendees for being an attentive and generous audience. (John teaching rquery at BARUG, photo credit: Timothy Liu) I am now looking for invitations to give a streamlined version of this talk privately to groups using R who […]

Announcing rquery

We are excited to announce the rquery R package. rquery is Win-Vector LLC‘s currently in development big data query tool for R. rquery supplies set of operators inspired by Edgar F. Codd‘s relational algebra (updated to reflect lessons learned from working with R, SQL, and dplyr at big data scale […]