Server
Operating Systems
Supported Operating System | Notes |
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Windows Server 2012 |
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Windows Server 2012 R2 | |
Windows Server 2016 |
Unsupported Operating Systems by Module
All modules support the Windows operating systems listed in the previous section.
Disk Space
New Installation | Upgrade |
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|
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Note: If you are installing a module that uses a reference database, such as a postal database,
geocoding database, or data normalization tables, you will need space for this data.
The total disk space varies, depending on which modules and databases you are
installing.
Memory
- Basic memory requirement: 16 GB
- The Data Normalization Module and Universal Name Module require additional memory if you use
these name databases:
- Arabic Plus Pack: 5.5 GB
- Asian Plus Pack - Chinese: 32 MB
- Asian Plus Pack - Japanese: 1.6 GB
- Asian Plus Pack - Korean: 8 MB
- Core Names: 1.1 GB
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The minimum memory requirement for the Machine Learning Module is 1 GB RAM. The allocation (java process – jvm memory) should be three to four times the size of the input file used in jobs where models are created.
To increase the JVM memory of the Machine Learning Module, open the %install_home%\server\modules\machinelearning\java.vmargs file and set the -Xmx and -Xms parameters as follows:
-Xms1024m -Xmx52g
Additional Requirements
- Windows administrator rights are required to install Spectrum™ Technology Platform
- In order to use the enhanced system tray notification application the server must have .NET Framework 3.5 SP1 (also known as 3.5.1) or higher. Windows Server 2008 comes with a limited version of .NET Framework 3.5. You need install the full .NET Framework 3.5.1 on Windows Server 2008. Later versions of Windows Server come with the required version of .NET Framework.
System Requirements for Enterprise Geocoding and Global Geocoding modules
- The Enterprise Geocoding Module and Global Geocoding Module system requirements:
- minimum: 16 GB RAM, 8 CPU, 100 GB storage
- recommended 32 GB RAM, 8 CPU, 200 GB storage, sufficient for all datasets.
The amount of RAM will depend on how many users on the sytem and how many datasets are loaded.
Requirements for the Big Data Integration Module
For the stages using Hadoop, which are Read from Hive File, Read from Hadoop Sequence, Write to Hadoop Sequence, and Write to Hive File, and for the activities Run Hadoop MapReduce Job and Run Hadoop Pig:- Hadoop version 2.6 and above
- Spark 2.0.1 and above.