Fuzzy-Logix/AdapteR: Converts R syntax to SQL to provide fast analytics using in-database C++ library DB Lytix.

drop 6 alpha! With Fuzzy Logix' DB Lytix(TM), advanced analytics can realize dramatic improvements in performance by moving computation from client machines into data warehouses and clusters where big data lives. As important as performance and scalability is the way in which the end user interacts with the analytics, and the R language has become most pervasive in this area. R is remarkably expressive and flexible, allowing for fast prototyping and evaluation, enabling agile analytics. Fuzzy Logix's new R package AdapteR enables the R syntax to consume DB Lytix in-database analytics by generating SQL transparently, and replacing R matrix and data frame data structures with remote table objects. AdapteR uses R's class system and method override to seamlessly leverage in-database analytics, without requiring complicated R server installations or writing custom SQL. In this session, we will demonstrate how AdapteR can be used to build interactive analytics at scale with just a few lines of R code!

install.packages("remotes")
remotes::install_github("Fuzzy-Logix/AdapteR")