Skip Headers
Oracle® Life Sciences Data Hub Installation Guide
Release 2.2

Part Number E22743-06
Go to Documentation Home
Home
Go to Book List
Book List
Go to Table of Contents
Contents
Go to Feedback page
Contact Us

Go to previous page
Previous
Go to next page
Next
View PDF

2 System Requirements and Technology Stack

This section contains the following topics:

See also Appendix A, "Architecture Overview."

System Requirements

This section includes some general requirements for your Oracle Life Sciences Data Hub (Oracle LSH) installation. Additional details are available in the documentation for each product you must install.

Operating Systems

To get the most current information on the Oracle LSH technology stack, see My Oracle Support article 180430.1, Oracle Life Sciences Applications Supported Technology Stacks.

  • Linux x86 (32-Bit)

    • Oracle Enterprise Linux 5

    • Red Hat Enterprise AS/ES 5

  • Linux x86-64 (64-Bit)

    • Oracle Enterprise Linux 5

    • Red Hat Enterprise AS/ES 5

  • HP Itanium 11i v3 (64-bit)

  • AIX 6.1 (64-Bit)

  • Oracle Solaris 10 (64-Bit)

Note:

Users of 64-Bit OEL 5.6 can use Oracle VM templates to install Oracle LSH 2.2. Find instructions in the MOS article, Guide to Using Oracle VM Templates in an Oracle Life Sciences Data Hub 2.2 Installation (ID 1450700.1).

Hardware

Oracle Applications 12.1.1 and Oracle Database 11.2.0.2 can be installed on the same or different servers.

In addition, you need one computer running on Windows for use in installing TMS. You will not need this computer after installing TMS except to install any TMS patches that may be required in the future. See Chapter 4, "Installing Oracle Thesaurus Management System." You need at least one Windows computer if you plan to use Oracle Business Intelligence Enterprise Edition (OBIEE) to define Business Areas and create data visualizations (OBIEE Answers); see Integrating Oracle Business Intelligence Enterprise Editions (OBIEE) for Visualizations. You can use the same Windows computer for OBIEE and TMS.

In an installation where the application and database tiers are installed on different computers, those computers are typically connected by a local area network (LAN), while the application-tier computer is connected to clients in a wide area network (WAN).

Using Real Application Clusters (RAC) to install the database over several nodes is optional; see Appendix B, "Installing Real Application Clusters (RAC)" for further information.

Oracle LSH uses Oracle XML Publisher (which is bundled with Oracle Applications) to generate PDF-format Report Sets. If you plan to use this feature and if your Report Sets are very large, you may want to dedicate one node to Oracle XML Publisher processing.

For system hardware requirements see the documentation for each component; see Assemble the Documentation.

In addition:

  • The TCP/IP network connection to the server should be at least at 1 GB.

  • Be sure to allow for growth in database storage capacity.

  • Oracle recommends installing a test environment as similar as possible to the production environment, including all operating system and other patches and updates.

Technology Stack

To get the most current information on the Oracle LSH technology stack, see My Oracle Support article 180430.1. At the time of publication of this document, the required technology stack for Oracle LSH consists of the following products:

Integrated External Systems

Oracle LSH includes adapters to support integration with the following external systems.

Character Encoding Settings

The data loaded into Oracle Life Sciences Data Hub (LSH) may originate in many systems, and these systems may use different encodings for special characters, including characters used in languages other than English. Special characters encoded in a coding system other than the one used by Oracle LSH may not be stored or displayed correctly in Oracle LSH.

If your data includes special characters, follow the steps in the sections listed here to adjust the many settings that determine the encoding used by various processes.

Make changes only after carefully analyzing the potential impact on your own data.