Add a Machine Learning Engine | Teradata Viewpoint - Adding a Teradata Machine Learning Engine - Teradata Viewpoint - Teradata Workload Management

Teradata® Viewpoint User Guide - 24.04

Deployment
VantageCloud
VantageCore
Edition
Enterprise
IntelliFlex
Lake
VMware
Product
Teradata Viewpoint
Teradata Workload Management
Release Number
24.04
Published
April 2024
Language
English (United States)
Last Update
2024-04-29
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Product Category
Analytical Ecosystem
Adding a Machine Learning Engine includes registering a certificate, testing login settings, and adding data collectors. Your Machine Learning Engine may be already set up for you. Follow these instructions if your Machine Learning Engine is not set up.
  1. Before adding a Machine Learning Engine system to Viewpoint, download and register the SSL CA certificate from https://master-node-IP:30009/ where master-node-IP is the IP address of the master node.
  2. Next to Systems, select "", then select Add Teradata Machine Learning Engine.
  3. Under General System Details, enter a system nickname, up to 30 characters.
  4. [Optional] Select the Enable system check box.
    After it is enabled, the system starts collecting data.
  5. Enter the Host ID of the system.
    The Host ID is the IP address or host name of the system.
  6. [Optional] Enter the site ID assigned by Teradata Customer Services.
    After enabling a system, the Site ID becomes read-only if Viewpoint detects a value for the system.
  7. Enter a login name and password.
    The logon is case-sensitive.
  8. [Optional] Click Test to verify that the login settings are correct.
    If the operation is successful, "" appears. If the operation fails, "" appears. If you receive an error, verify that the login credentials are valid and the host can be reached.
  9. [Optional] Under Collectors, select Enable all data collectors (Configure in Data Collectors) to collect data on this system.
    The data collectors can be enabled and configured individually in Data Collectors.
  10. Select Apply.
    If the operation is successful, "" appears. If the operation fails, "" appears. If you receive an error, verify that the settings are correct and try again.