In November 2011 (SAS
9.3, Rev. 930_11w45), format publishing is supported for Aster
nCluster
and Greenplum. Format publishing enables you to execute SAS PUT function
calls inside the database. You can reference most of the formats that
SAS supplies and the custom formats that you create with PROC FORMAT.
In addition, in-database
scoring for Teradata has been enhanced by the addition of the SAS
Embedded Process. The SAS Embedded Process is a SAS server process
that runs within Teradata to read and write data.
In December 2011 (SAS
9.3, Rev. 930_11w50), in-database scoring for DB2 has been enhanced
by the addition of the SAS Embedded Process. The SAS Embedded Process
is a SAS server process that runs within DB2 to read and write data.
In April 2012 (SAS
9.3, Rev. 930_12w16), you can use the SAS Scoring Accelerator in conjunction
with SAS Model Manager to manage and deploy scoring models in Greenplum.
In June 2012 (SAS
9.3, Rev. 930_12w23), in-database scoring is supported for Oracle
by using the SAS Embedded Process.
In
the second maintenance release for SAS 9.3 (SAS 9.3, Rev. 930_12w35),
in-database scoring for Greenplum has been enhanced by the addition
of the SAS Embedded Process. Also, SAS Scoring Accelerator and SAS
Model Manager now support importing
SAS/STAT linear models and SAS
High-Performance Analytics models from a SAS package file (.SPK).
In
December 2012 (SAS 9.3, Rev. 930_12w50), installation and configuration
information for the SAS Embedded Process for Hadoop was added to the
SAS In-Database Products: Administrator's Guide. The SAS Embedded Process must be installed and configured
before you can read and write data to a Hadoop Distributed File System
(HDFS) in parallel with High-Performance Analytics (HPA).