DSS must be installed on a Linux x86-64 server.
The following Linux distributions are fully supported, in 64-bit version only:
- Ubuntu Server, versions 14.04 LTS and 16.04 LTS
- Debian, versions 8.x
- CentOS, version 7.0 and later 7.x
- Red Hat Entreprise Linux Server, version 7.0 and later 7.x
- Oracle Linux, version 7.1 and later 7.x
- Amazon Linux, version 2015.03 and later (tested up to version 2016.09)
The following Linux distributions are supported, in 64-bit version only, but are NOT recommended for new installations, as their base platform is outdated and may pose compatibility problems with future evolutions of DSS:
- Debian, versions 7.x
- CentOS, version 6.5 and later 6.x
- Red Hat Entreprise Linux Server, version 6.5 and later 6.x
- Oracle Linux, version 6.6 and later 6.x
These distributions should be up-to-date with respect to Linux patches and updates.
Running on a system with Security-Enhanced Linux (SELinux) in enforcing mode is not supported.
A minimum of 8 GB of RAM is required. More RAM can be required if you intend to load large datasets in memory (for example in the IPython notebook component). 16 GB of RAM are highly recommended.
The hard limit on the maximum number of open files for the Unix user account running DSS should be at least 64k (
ulimit -Hn). For very large DSS instances, larger values may be required.
The hard limit on the maximum number of user processes for the Unix user account running DSS should be at least 64k (
ulimit -Hu). For very large DSS instances, larger values may be required.
Mac OS X¶
The OS X version is only available for experimentation and evaluation purpose, it is not supported for production usage
DSS can be installed on Mac OS X version 10.9 (Mavericks) up to 10.12 (Sierra).
8 GB of RAM is highly recommended. More RAM can be required if you intend to load large datasets in memory (for example in the IPython notebook component).
Data Science Studio is accessed over a Web browser.
The following browsers are supported:
- Chrome (latest version)
- Firefox (latest ESR version)
Chrome and Adblock Plus users
Adblock Plus on Chrome is known to cause serious performance issues when using Data Science Studio. It is highly recommended that you add the hostname on which Data Science Studio is deployed to the list of “allowed domains” in Adblock Plus
Data Science Studio makes use of WebSockets technology. If a proxy is used between the user’s browser and the Data Science Studio server, the proxy must support WebSockets. In case of doubt, it is recommended not to use any proxy between the browser and the Data Science Studio server.