Teradata R Package Product Overview

Note: Teradata recommends to install tdplyr from https://github.com/Teradata/tdplyr.
Download from downloads.teradata.com location if your organization does not allow you to download directly from https://github.com/Teradata/tdplyr.

The Teradata R package (tdplyr) combines the benefits of open source R language environment with the massive parallel processing capabilities of Teradata Vantage, which includes the Teradata Machine Learning Engine analytic functions and the Teradata NewSQL Engine in-database analytic functions. It allows users to develop and run R programs that take advantage of the Big Data and Machine Learning analytics capabilities of Vantage.

This package interface makes available to R users a collection of functions for analytics that reside on Vantage, so that they can perform in-database analytics with no SQL coding required. Specifically, the Teradata R package provides functions for data manipulation and transformation, data filtering and sub-setting, on remote Teradata database table and can be used in conjunction with open source R capabilities. Moreover, the Teradata R package conforms and works with the functions of the dbplyr package and most of the verbs of the dplyr package.

The Teradata R package depends on rlang, dplyr, dbplyr, DBI, magrittr, jsonlite, purrr, bit64 (which are available from CRAN) and teradatasql (which is available from Teradata's Github repository and downloads.teradata.com) packages.

To download and install tdplyr along with its dependencies automatically, specify the Teradata R package repository and CRAN in the repos argument for install.packages.

Rscript -e "install.packages('tdplyr',repos=c('https://r-repo.teradata.com','https://cloud.r-project.org'))"

Documentation and Support
For Teradata R package documentation, please visit Teradata R Package Documentation

For Teradata customer support, please visit Teradata Access or email Analytic-Clients Support at SA230577@teradata.com.

General product information is available in the Teradata Documentation Website.

• Teradata R Package User Guide – B700-4005
• Teradata R Function Reference – B700-4007