Tags for r
Teradata SQL Driver for R
The Teradata SQL Driver for R enables R applications to connect to the Teradata Vantage Advanced SQL Engine.
r dbi dbi driver driver
Bring Your Own Model (BYOM)
Bring Your Own Model Overview
BYOM examples scripts r python
Vantage Modules for Jupyter
Visit the landing page for more information including sample notebooks, video clips and more ... https://teradata.github.io/jupyterextensions Join the community discussion at  https://support.teradata.com/community - Ecosystem Management Forum, topic: Jupyter Note: The docker image is also available on Docker Hub  https://hub.docker.com/r/teradata/jupyterlab-extensions
jupyter sql python r
Teradata Package for R - tdplyr
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 product 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 Advanced SQL Engine in-database analytic functions. Teradata R Package allows users to develop and run R programs that take advantage of the Big Data and Machine Learning analytics capabilities of Teradata Vantage.
R Repository
A download location for 'R Repository'.
r aster repository
How to use the Teradata JDBC Driver with R
The RJDBC package enables an R application to use the Teradata JDBC Driver to access the Teradata Database.
jdbc r terajdbc v_connectivity
Aster R 101
Aster R is easy for the intermediate R user to pick up and quickly begin data science on enterprise-level datasets.
aster r
Submit multiple SQL lines to Teradata through R
Hello Everyone, 
teradata r sql multiple lines ddl et bt
Orchestrating an analytic workflow in the Teradata Unified Data Architecture
Overview This article describes how to combine exploratory analytics and operational analytics within the Teradata Unified Data architecture (UDA). The UDA is a logical and physical architecture that adds a data lake platform to complement the Teradata Integrated Data Warehouse. In the Teradata advocated solution, the data lake platform can either be Hadoop or a Teradata Integrated Big Data Platform optimized for storage and processing of big data. Query Grid is an orchestration mechanism that supports seamless integration of multiple types of purpose built analytic engines within the UDA.
analytics uda query grid Spark r python IOT v_uda
Connecting from R via RJDBC and terajdbc4.jar fails
My company is running an R-Studio Server Pro on a Red Hat Linix 6 platform (64bit) and a Teradata 14 RDBMS. When trying to connect via RJDBC, I get an error that seems to be well known in the forums, but the standard recipes for resolving the issues don't help. Here is how I connect to the Teradata DB:
r rjdbc teradatar terajdbc4 jdbc