5.1 About Oracle Machine Learning for R on Exadata

Exadata is an ideal platform for OML4R.

The parallel resources of R computations in OML4R take advantage of the massively parallel grid infrastructure of Exadata.

Note:

The version of OML4R must be the same on the server and on each client computer. Also, the version of R must be the same on the server and on each client computer. See the Table 1-3 for supported configurations.

To install OML4R on Exadata:

  1. On the first node:
    • Install the OML4R server components

  2. On each node:
    • Install Oracle R Distribution

    • Verify and configure the environment

    • Install the OML4R supporting packages

  3. On the first node only, create an OML4R user, if desired. Alternatively, configure an existing database user to use OML4R. See Create a Database User for Oracle Machine Learning for R.

You can simplify the process of installing OML4R on Exadata by using the Distributed Command Line Interface (DCLI).