SAS Retail Forecasting 5.2 includes the following SAS/ACCESS engines:
Note: For more information about obtaining or installing third-party software, please see the SAS Merchandise Intelligence 5.2 Installation Guide.
Oracle Database 11g Standard Edition is required.
Note: The correct JDBC drivers are included when you install Oracle.
SAS Retail Forecasting 5.2 requires a 64-bit machine capable of running Red Hat Enterprise Linux (RHEL) 5.5 or higher: x64 chip family (x86-64)
For information about product support for virtualization environments (such as VMWare), please refer to this webpage: http://support.sas.com/techsup/pcn/virtualization.html
Database tier: 6 GB of
memory per core (minimum); 8 GB of memory per core recommended
SAS
back-end server tier: 6 GB of memory per core (minimum); 8 GB of memory
per core recommended
50 MB per second per IO thread (minimum)
The number of IO threads depends on several factors, for example, the size of the data, total number of cores, and the batch window. (This is usually determined during the hardware sizing process.)
Red Hat Enterprise Linux 5.5 or higher.
The middle tier runs within a JBoss Web application server. JBoss Application Server 4.2.3 GA is supported. If you use JBoss Application Server 4.2.3. GA, no additional configuration is required.
However, if you use one of the other supported versions (in particular, if you run with the Enterprise Application Platform version of JBoss), you might need to perform additional configuration steps.
Other supported versions of JBoss Application Server are listed here:
http://support.sas.com/resources/thirdpartysupport/v93/appservers/jbosssw.html
JBoss Application Server configuration documentation can be found at the
following link:
http://support.sas.com/resources/thirdpartysupport/v93/appservers/jbossdoc.html
JDK is required on the SAS Merchandise Intelligence Mid-Tier server. The
minimum version requirements of Java Development Kits (JDK) for use with SAS 9.3
can be found at the following link:
http://support.sas.com/resources/thirdpartysupport/v93/jdks.html
Note: JDK is used to run the middle tier. However, JRE is used to run the client and other java-based applications. The correct versions of JRE and JDK are included with your installation.
The Middle Tier supports the same machine and uses the same operating system as the Server Tier.
4 GB of memory per core
30 GB
The list of Web browsers that SAS supports is updated as new products are tested and approved. For the latest information, please visit the SAS 9.3 Support for Web Browsers and Plug-Ins page at http://support.sas.com/resources/thirdpartysupport/v93/browsers.html.
JRE is required on the SAS Merchandise Intelligence client. The correct version of JRE is included with your installation.
To use advanced features of the SAS Merchandise Intelligence Client and SAS Merchandise Solutions Configuration Workbench, the following applications must be installed:
Adobe Reader 6 or later is required so users can export views, print PDFs, and read solution documentation.
A Web browser is required on each machine that will access the SAS documentation Web site and the SAS Technical Support Web site.
• Microsoft Internet Explorer 7
• Microsoft
Internet Explorer 8 (in Compatibility View mode)
Microsoft Office Professional Plus 2010 is required so users can export certain lists or tables to Excel (where the Export to Excel feature is available) and view exported views.
The following are the minimum requirements for the Client Tier:
A 32-bit or 64-bit Intel or AMD machine is required, depending on the operating system.
The minimum processor speed required depends on the operating system. For example:
• Microsoft Windows Server 2008 R2
(64-bit): 1.4 GHz
• Windows 7 (64-bit): 1 GHz
The minimum RAM required depends on the operating system. For example:
• Microsoft Windows Server 2008 R2
(64-bit): 1 GB
• Windows 7 (64-bit): 2 GB
The recommended RAM depends on the operating system. For example:
• Microsoft Windows Server 2008 R2
(64-bit): 2 GB
• Windows 7 (64-bit): 3 GB
Note: Adding more RAM will improve performance.