The TeradataAsterR package runs on the client system and is designed primarily for data management and exploration.
The TeradataAsterR package includes over 100 functions organized into four functional areas:
- Utility and database management functions
- Data exploration and preparation functions
- R version of all Teradata Aster® Analytics functions
These functions automate data partitioning and parallel processing across the nodes of the cluster.
- R script runners
These runners allow users to run R scripts in the Aster Database, without installing open-source R in the database.
The TeradataAsterR package also includes a set of R data objects called virtual objects. Users can use Aster R commands to access and manipulate these virtual objects to access data in the Aster Database. The look and feel is very similar to that of interacting with a regular data frame in R.
For example, Aster R provides an R object called virtual data frame that represents an Aster table, view, or SQL query. Aster R commands that access or manipulate a virtual data frame are translated to equivalent SQL or Teradata Aster SQL-MapReduce® queries and are executed in the Aster Database using RODBC.