AsterR allows users to leverage the power and speed of Aster for big data analytics while maintaining the familiar R environment. It works by executing R functions and code on Aster's massively parallel processing system. Key uses of AsterR include database integration with Aster, easy exploration and simple analysis of large datasets, fast data transformation on billions of rows, passing R functions to Aster for execution, and blending R and SQL for advanced users.

1. Demystifying Aster R
How AsterR is used in the “Data Discovery Process?”
JUNE, 2015

2. 2
What is AsterR?
The AsterR package and
the R installation into
Aster create a rich
environment that
provides the R user with
the normal look and feel
of R while maintaining
the power and speed of
Aster.

3. 3 © 2014 Teradata
How does it work with Aster? What do
I need to get it working?
All the Aster analytic
functions may be executed
from R using SQL, but many
of the functions such as
nPath, cFilter, Minhash, and
Random Forest have been
"translated" into a pure R
look and feel. In addition,
AsterR provides pathways
called the "R Runners" to
push R code into Aster for
execution.

4. 4
How is AsterR Used?: Database
Integration
Using Aster as a
database provides
enterprise quality security
for accessing and
landing data. Aster is a
component of the larger
Teradata Unified Data
Architecture so data can
easily be sourced from
Hadoop, an EDW, or
other enterprise systems.

5. 5
How is AsterR Used?: Data
Exploration and Simple Analysis
R simply does not scale well.
On its own, R is not a big
data tool.
AsterR makes data
exploration with the full
dataset easy.
AsterR delivers results on a
“big data” dataset on a MPP
system.

6. 6 © 2014 Teradata
How is AsterR Used? : Data
Transformation
Data transformation is
quite easy and common
in R, but as the data size
grows these operations
can quickly get bogged
down.
In AsterR, merging billion
row tables, adding new
columns, transposing the
data, and recoding the
information becomes
extremely easy and fast.

7. 7 © 2014 Teradata
How is AsterR Used?: Passing R Functions and
Code for Aster Execution
The data mining
functions are native
Aster SQL-MR
functions, but they
have been
repacked into a
pure R look and
feel for easy
execution within
AsterR.

8. 8 © 2014 Teradata
How is AsterR Used?: Power Users: Blending R
and SQL
Another broad use
case is the fluid
integration of SQL
and R for those
users who know
both. Adding
Aster’s basic SQL
foundation can
take things to the
next level.

9. 9 © 2014 Teradata
Anything Else That We Should Know?