AdapteR installation and testing instructions

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.

What is AdapteR?

With Fuzzy Logix’ DB Lytix™, 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. AdapteR can be used to build interactive analytics at scale with just a few lines of R code!

Requirements

• AdapteR needs DB Lytix™ suite to be installed on your Teradata Appliance, so it can use its fast C++ implementation of analytical functions.

  Find more information on http://www.fuzzylogix.com.

• Install prerequisite teradataR

  install.packages("devtools")
  require(devtools)
  install_github("Teradata/teradataR")
      

Installation instructions

Install (or update) the package

# install.packages("devtools")
# require(devtools)
install_github("Fuzzy-Logix/AdapteR")

(The package does not depend on either JDBC or ODBC but uses either you provide at runtime. You savely can ignore warnings about xDBC.)