When using conventional
processing to access data inside a DBMS, SAS Enterprise Miner asks
the
SAS/ACCESS engine for all rows of the table being processed. The
SAS/ACCESS engine generates an SQL SELECT * statement that is passed
to the database. That SELECT statement fetches all the rows in the
table, and the
SAS/ACCESS engine returns them to SAS Enterprise Miner.
As the number of rows in the table grows over time, network latency
grows. This happens because the amount of data that is fetched from
the database to the SAS scoring process increases.
The SAS Scoring Accelerator
embeds the robustness of SAS Enterprise Miner scoring models directly
in the highly scalable database. By using the SAS In-Database technology
and the SAS Scoring Accelerator, the scoring process is done inside
the database and thus does not require the transfer of data.
The SAS Scoring Accelerator
takes the models that are developed by SAS Enterprise Miner and translates
them into scoring files or functions that can be deployed inside the
database. After the scoring functions are published, the functions
extend the database’s SQL language and can be used in SQL statements
like other database functions. After the scoring files are published,
they are used by the SAS Embedded Process to run the scoring model.
The SAS Scoring Accelerator consists of two components:
-
the Score Code Export node
in SAS Enterprise Miner. This extension exports the model scoring
logic (including metadata about the required input and output variables)
from SAS Enterprise Miner.
-
the publishing client that includes a scoring publishing
macro. This macro translates the scoring model into files that are
used inside the database to run the scoring model. The publishing
client then uses the
SAS/ACCESS Interface to the database to publish
the files to the database.
In the August 2012 release,
you can also use the SAS Scoring Accelerator and SAS Model Manager
to import
SAS/STAT linear models and SAS High-Performance Analytics
models from a SAS package file (.SPK). Models that have a DATA step
score code type can be scored, published, and included in performance
monitoring. For more information, see the
SAS Model Manager: User's Guide.