When
using conventional processing to access data inside a database management
system (DBMS), SAS 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 DBMS. That SELECT statement fetches
all the rows in the table, and the
SAS/ACCESS engine returns them
to SAS. As the number of rows in the table grows over time, network
latency grows because the amount of data that is fetched from the
DBMS to SAS increases.
SAS In-Database processing
integrates SAS solutions, SAS analytic processes, and third-party
database management systems. Using SAS In-Database processing, you
can run scoring models, some SAS procedures, and formatted SQL queries
inside the database. The following table lists the SAS products needed
to use these features.
|
|
|
format publishing and
the SAS_PUT() function
|
-
-
SAS/ACCESS Interface to the DBMS
|
DB2 under UNIX |
Netezza |
Teradata |
|
|
-
-
SAS/ACCESS Interface to the DBMS
-
-
SAS Model Manager (optional)
|
Aster nCluster
|
DB2 under UNIX |
Greenplum |
Netezza |
Teradata |
|
Base SAS procedures:
FREQ |
RANK |
REPORT |
SORT |
SUMMARY/MEANS |
TABULATE |
|
-
-
SAS/ACCESS Interface to the DBMS
|
DB2 under UNIX and PC Hosts |
Oracle |
Netezza |
Teradata |
|
SAS/STAT procedures:
CORR |
CANCORR |
DMDB |
DMINE |
DMREG |
FACTOR |
PRINCOMP |
REG |
SCORE |
TIMESERIES |
VARCLUS |
|
-
-
SAS/ACCESS Interface to Teradata
-
SAS/STAT (for CANCORR, FACTOR,PRINCOMP,
REG, SCORE, VARCLUS)
-
-
SAS Enterprise Miner (for DMDB,
DMINE, DMREG)
-
SAS Analytics Accelerator
|
|