Setup requirements - Data360_Analyze - 3 - 3.12

Data360 Analyze Server Help

Product type
Software
Portfolio
Verify
Product family
Data360
Product
Data360 Analyze
Version
3.12
Language
English
Product name
Data360 Analyze
Title
Data360 Analyze Server Help
Copyright
2023
First publish date
2016
  Server Desktop
System requirements

The minimum hardware specification for the server product is as follows:

  • 32GB minimum (Web Server - 12GB, Database server - 8GB, Execution Server - 4GB base + 2GB per core)
  • Minimum 4 cores for a server instance
Note: As the number of users and/or the number of scheduled jobs increases, you should look to increase the number of cores and thus memory.
  • At least two separate drives or partitions:
    • One for the Data directory.
    • One for temporary execution data.

The minimum hardware specification for the desktop product is as follows:

  • 8GB RAM.
  • Intel Core i5 or 4-core equivalent processor minimum (i7 recommended).
  Server Desktop
System requirements

For desktop installations and installations on Windows Server, you must install the required Visual C++Redistributable Packages (choose the x64 variant of the .exe file):

For Windows Server installations, you must also install:

Note: The Power R node and the nodes in the Statistical and Predictive Node Pack process data in-memory. Additional RAM will be required when processing data sets with a large volume of data. Similarly, if the R node is used, the machine hosting the R environment must have sufficient available RAM to process the data.
Supported platforms

The following operating systems are supported on the Data360 Analyze server product:

  • Windows Server Core 2019
  • Windows Server 2019 (Desktop Experience)
  • Windows Server 2016 64-bit (Server with Desktop Experience)
  • RedHat Enterprise 7.X 64-bit
  • RedHat Enterprise 8.X 64-bitRequires the libnsl-2.28-151.el8.x86_64 RPM package or later, and the compat-libgfortran-48 package.

The following operating systems are supported on the Data360 Analyze single-user desktop product:

  • Windows 10 64-bit

The following browsers are supported on both server and desktop:

  • Google Chrome - Latest stable version
  • Microsoft Edge - New Chromium-based version
App server databases Postgres H2

Authentication servers (server only)

  • Active Directory
  • OpenLDAP
N/A

Authentication protocols (server only)

  • LDAP
  • LDAPs
N/A

Single Sign-On (server only)

SAML 2.0 N/A

Single Sign-On (server only)

CA Single Sign-On

Data360 Analyze is tested against CA Single Sign-On v12.6 where it is integrated via the SiteMinder Access Gateway component. Other versions of CA Single Sign-On which support the SiteMinder Access Gateway may also work.

Integrating with previous versions of CA Single Sign-On, where the SiteMinder Access Gateway is not available, may also work where those versions support the SiteMinder Secure Proxy Server component.

N/A

App servers

Tomcat 9.0.70

Supported platforms

The following operating systems are supported on Data360 Analyze Server:

  • Windows Server Core 2019
  • Windows Server 2019 (Desktop Experience)
  • Windows Server 2016 64-bit (Server with Desktop Experience)
  • RedHat Enterprise 7.X 64-bit
  • RedHat Enterprise 8.X 64-bit

The following browsers are supported:

  • Google Chrome - Latest stable version
  • Microsoft Edge - New Chromium-based version

System requirements

The minimum hardware specification is as follows:

  • 32GB minimum (Web Server - 12GB, Database server - 8GB, Execution Server - 4GB base + 2GB per core)
  • Minimum 4 cores for a server instance
Note: As the number of users and/or the number of scheduled jobs increases, you should look to increase the number of cores and thus memory.
  • At least two separate drives or partitions:
    • One for the Data directory.
    • One for temporary execution data.

For installations on Windows Server, you must install the required Visual C++Redistributable Packages (choose the x64 variant of the .exe file):

Note: The Power R node and the nodes in the Statistical and Predictive Node Pack process data in-memory. Additional RAM will be required when processing data sets with a large volume of data. Similarly, if the R node is used, the machine hosting the R environment must have sufficient available RAM to process the data.

App servers

  • Tomcat 9.0.70

App server databases

  • Postgres
Note: Data360 Analyze server upgrades to 3.7.1 will require more disk space than normal. The additional space required is 1.5 times that of the current Postgres database size.

Authentication servers

  • Active Directory
  • OpenLDAP

Authentication protocols

  • LDAP
  • LDAPs

Single Sign-On

  • SAML 2.0
  • CA Single Sign-On — Data360 Analyze is tested against CA Single Sign-On v12.6 where it is integrated via the SiteMinder Access Gateway component. Other versions of CA Single Sign-On which support the SiteMinder Access Gateway may also work. Integrating with previous versions of CA Single Sign-On, where the SiteMinder Access Gateway is not available, may also work where those versions support the SiteMinder Secure Proxy Server component.

Execution Sandboxing

In order to use the Execution Sandboxing feature, the Analyze server must already have an appropriate container runtime. On Windows, Mirantis Container Runtime (formerly Docker Enterprise) is required to use the Execution Sandboxing feature. Data360 Analyze has been verified on Windows server with the Execution Sandboxing feature against Mirantis Container Runtime version 20.10.9. In order to use the Execution Sandboxing feature on Linux, docker-ce is required. Data360 Analyze has been verified on Linux with the Execution Sandboxing feature against docker-ce version 20.10.17.

Supported platforms

The following operating systems are supported on Data360 Analyze Desktop:

  • Windows 10 64-bit

The following browsers are supported:

  • Google Chrome - Latest stable version
  • Microsoft Edge - New Chromium-based version

System requirements

The minimum hardware specification is as follows:

  • 8GB RAM
  • Intel Core i5 or 4-core equivalent processor minimum (i7 recommended).

You must install the required Visual C++Redistributable Packages (choose the x64 variant of the .exe file):

Note: The Power R node and the nodes in the Statistical and Predictive Node Pack process data in-memory. Additional RAM will be required when processing data sets with a large volume of data. Similarly, if the R node is used, the machine hosting the R environment must have sufficient available RAM to process the data.

App servers

  • Tomcat 9.0.70

App server databases

  • H2