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 John Mount will be speaking on the
rqdatatable packages at the The East Bay R Language Beginners Group Tuesday, August 7, 2018 (Oakland, CA).
One may ask: “why share new packages with an “R Language Beginners Group?” (Though, I prefer to use the term “part time R user”.) Because: such packages can give such users easy, safe, consistent, and performant access to powerful data systems.
rquery establishes a notation and links to external data providers such as PostgreSQL, Amazon Redshift, and Apache Spark.
rqdatatable supplies an additional in-memory implementation of the
rquery notation using the powerful
rqdatatable can, if given a fair chance, be significant
R tools. Users are that chance.
If you are around please come see the talk.
Data Scientist and trainer at Win Vector LLC. One of the authors of Practical Data Science with R.