Configuring normalization settings for datasets

A dataset is a collection of CIs and relationships, and each data provider has its own dataset. You can configure the default normalization settings that are applied when datasets are created. You can also apply these default settings to datasets that are already configured. These settings include the option of full or incremental normalization. 

In the Calbro example, the system configuration is first set to the most common values:

  • Both product names and categories are normalized.
  • Products are normalized as the datasets are updated (inline mode).
  • Products with errors are not updated.
  • Discovered products that are not found in the Product Catalog are not created.

Next, the Calbro staff configures the individual datasets that need to be configured differently from the system configuration. For example, for CFS.APPS, any new products found there are created in the Product Catalog.


Related topics

Configuring-continuous-normalization

Normalization-best-practices-to-achieve-improved-performance

You can configure normalization for datasets in the following ways:

  • Configure default normalization of CIs across all datasets. 
    These settings are the default normalization settings for all datasets, but these settings do not override the individual dataset configurations unless you select Apply Default Settings to all Datasets. 

  • Customize normalization for each dataset.
    The dataset normalization settings override the system defaults.

    Important

    The Version Rollup and Instance normalization features are enabled for all datasets by default and cannot be disabled or configured for individual datasets.
    By default, all datasets also have the Relationship and Impact normalization features enabled. The Normalization Type is set to CTI Only.

Before you begin

  • You must create a job to normalize the datasets.
  • Enable inline or continuous normalization for a dataset to normalize when CIs are created.
  • Create a batch job to normalize CIs that are created when normalization is stopped, such as during upgrades.

To configure normalization settings for datasets

  1. On

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    , click Configurations.
  2. From the list, select Manage Normalization Rules > Dataset Configurations.

  3. Select an existing Dataset Configuration, and click image2017-8-16 15:16:54.png.

    Dataset config.png

  4. On the All Datasets Configurations page, set the normalization settings for the selected dataset.
    dataset config 2.png

    The following table describes the settings you can configure for normalization.


Dataset normalization settings

5. Click Save.

 

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