Role of Open source integration node in SAS
- The Open Source Integration node enables you to write code in
the R language inside SAS Enterprise Miner.
- The Open Source Integration node makes SAS Enterprise Miner
data and metadata available to your R code and returns R results to
SAS Enterprise Miner.
- In addition to training and scoring supervised and unsupervised
R models, the Open Source Integration node allows for data
transformation and data exploration.
- Further, when you run an appropriate R package with Output Mode
set to PMML, your results should contain the standard assessment
plots and tables that are associated with the corresponding
modeling node.
- Though the node enables you to incorporate many aspects of the
R language into SAS Enterprise Miner, there are limitations.
- Successful deployment requires correct configuration and an
understanding of both the R and SAS Enterprise Miner data analysis
platforms.
pros and cons of saas in advanced analytics
pros
-
SAS is can be used as query builder tool which can automate a
lot of excel process.
-
There are variety of statistical options available that tie up
good visual analytics.
-
There are inbuilt models available for different operations
which doesn't require any coding and are easy to run.
cons
-
Query builders have less functionality compared to some tools
like alteryx.
-
Modifying and customizing outputs are still a cumbersome
process.
-
Coding for special tasks is difficult and lengthy.