The purpose of the Settings tab in the Catalog application is to enable viewing and editing various Catalog configurations. The Catalog includes pre-defined settings which can be updated to accommodate the Project's needs.
This article includes the following sections:
The Classifier Regex Setup tab allows to view and update the Profiling regular expression rules that are used by the Profiling built-in plugins, Data Regex Classifier and Metadata Regex Classifier.
The columns of this tab are:
Classification, which defines the value of a Classification property added to the Catalog's fields as a result of the Profiling plugins.
Type, which can be either Field Name or Field Value:
Regular Expression, which defines the expression applied on the field, either its name or its value, depending on the Type.
Score, which defines the confidence level that the current rule is true.
Each Classification can have several definitions, with either the same or different Types.
Using this tab, you can either edit existing definitions or add new ones. The Classification value can be either new or selected from the list.
Once the Save button is clicked, the metadata_profiling and data_profiling MTables are updated in Fabric's memory and in the Implementation/SharedObjects/Interfaces/Discovery/MTable
folder of the Project tree.
Click here for more details about these Profiling plugins.
The Classifier PII & Masking Setup tab allows to view and update the PII and Catalog-based masking settings of each classification. The PII indicator is used by the Classification PII Marker built-in plugin. The Masking setup is used by the Catalog Masking actors as described later in this article.
Each Classification in this tab is unique, and it includes 2 attributes:
In this tab, each classification can have only one definition (row). Note that you cannot create a sequence (via the Sequence Setup tab) with the same name as a classification that appears in this tab since both classifications & sequences are saved in the same MTable.
Click the icon to expand the Generator and its parameters setup area (PII, Consistent and Unique indicators as well as other Advanced parameters), that will be used for generating a random value. The Generator can be any existing built-in actor, a custom actor or a flow, which should be created under the Shared Objects in the Fabric Studio.
Upon invocation of a Catalog Masking actor - e.g., during a table population - the generated value is populated in a field with a given Classification. For instance, when a field is classified as a Social Security Number, you should set up the Generator for masking it. The Generator can be either the built-in RandomSSN.actor, or a custom actor or flow.
When selecting an actor or a flow, its respective input parameters are dynamically added below it.
Guidelines for Creating a Masking Flow
The first input parameter of a masking flow (or a custom actor) - selected as a Generator - is considered as the value that should be masked, and not as a masking configuration parameter. Hence, it is hidden (and not dynamically added) when a masking flow is selected in the Masking setup screen above. This is applicable only for an input parameter of Link or External type.
Therefore, when creating such a flow, its first input should be named 'value', even if this flow doesn't need to receive any input. This prevents the hiding of the first input from the Masking setup screen as explained above.
Below is a sample of such flow:
Once the Save button is clicked in the Classifier PII & Masking Setup tab, the pii_profiling and catalog_classification_generators MTables are updated in Fabric's memory and in the Implementation/SharedObjects/Interfaces/Discovery/MTable
folder of the Project tree.
Click for more details about the Catalog masking mechanism.
The purpose of the Advanced Masking Settings pop-up window is to allow setting up of additional masking parameters. This window includes the following:
The Advanced Masking Settings are defined per each Classification by using the above pop-up window.
The Submit button in this window aggregates the data in the application’s client side until saving is done using the Save button in the Classifier PII & Masking Setup tab.
Upon clicking the Save button in the Classifier PII & Masking Setup tab, the pii_profiling and catalog_classification_generators MTables are updated in Fabric's memory and in the Implementation/SharedObjects/Interfaces/Discovery/MTable
folder of the Project tree.
Starting from V8.1, the Classifier Sequence Setup tab was added to the Catalog Settings.
The Classifier Sequence Setup tab allows to set up the sequences that can be used in a project as part of the masking flow (note that usage of the sequences will be introduced in the next Fabric version).
This tab doesn't have a product built-in setup as the sequence names and definitions are always project specific.
Click the Add Record + button to create a sequence, and populate a Sequence Name, Generator and its parameters (PII, Verify Uniqueness indicators and the Advanced parameters, if needed), that will be used for generating a sequence value. The Generator can be any existing built-in actor, a custom actor or a flow, which should be created under the Shared Objects in the Fabric Studio.
Each sequence can have only one definition (row). Note that you cannot create a classification (via the PII & Masking Setup tab) with the same name as a sequence in this tab.
The purpose of the Advanced Sequence Settings pop-up window is to allow the setting up of additional sequence parameters; it is very similar to the Advanced Masking Settings pop-up window.
Upon clicking the Save button in the Classifier Sequence Setup tab, the pii_profiling and catalog_classification_generators MTables are updated in Fabric's memory and in the Implementation/SharedObjects/Interfaces/Discovery/MTable
folder of the Project tree.
The sequences are saved in the same MTable as the masking classifications - catalog_classification_generators, with the following difference:
The purpose of the Settings tab in the Catalog application is to enable viewing and editing various Catalog configurations. The Catalog includes pre-defined settings which can be updated to accommodate the Project's needs.
This article includes the following sections:
The Classifier Regex Setup tab allows to view and update the Profiling regular expression rules that are used by the Profiling built-in plugins, Data Regex Classifier and Metadata Regex Classifier.
The columns of this tab are:
Classification, which defines the value of a Classification property added to the Catalog's fields as a result of the Profiling plugins.
Type, which can be either Field Name or Field Value:
Regular Expression, which defines the expression applied on the field, either its name or its value, depending on the Type.
Score, which defines the confidence level that the current rule is true.
Each Classification can have several definitions, with either the same or different Types.
Using this tab, you can either edit existing definitions or add new ones. The Classification value can be either new or selected from the list.
Once the Save button is clicked, the metadata_profiling and data_profiling MTables are updated in Fabric's memory and in the Implementation/SharedObjects/Interfaces/Discovery/MTable
folder of the Project tree.
Click here for more details about these Profiling plugins.
The Classifier PII & Masking Setup tab allows to view and update the PII and Catalog-based masking settings of each classification. The PII indicator is used by the Classification PII Marker built-in plugin. The Masking setup is used by the Catalog Masking actors as described later in this article.
Each Classification in this tab is unique, and it includes 2 attributes:
In this tab, each classification can have only one definition (row). Note that you cannot create a sequence (via the Sequence Setup tab) with the same name as a classification that appears in this tab since both classifications & sequences are saved in the same MTable.
Click the icon to expand the Generator and its parameters setup area (PII, Consistent and Unique indicators as well as other Advanced parameters), that will be used for generating a random value. The Generator can be any existing built-in actor, a custom actor or a flow, which should be created under the Shared Objects in the Fabric Studio.
Upon invocation of a Catalog Masking actor - e.g., during a table population - the generated value is populated in a field with a given Classification. For instance, when a field is classified as a Social Security Number, you should set up the Generator for masking it. The Generator can be either the built-in RandomSSN.actor, or a custom actor or flow.
When selecting an actor or a flow, its respective input parameters are dynamically added below it.
Guidelines for Creating a Masking Flow
The first input parameter of a masking flow (or a custom actor) - selected as a Generator - is considered as the value that should be masked, and not as a masking configuration parameter. Hence, it is hidden (and not dynamically added) when a masking flow is selected in the Masking setup screen above. This is applicable only for an input parameter of Link or External type.
Therefore, when creating such a flow, its first input should be named 'value', even if this flow doesn't need to receive any input. This prevents the hiding of the first input from the Masking setup screen as explained above.
Below is a sample of such flow:
Once the Save button is clicked in the Classifier PII & Masking Setup tab, the pii_profiling and catalog_classification_generators MTables are updated in Fabric's memory and in the Implementation/SharedObjects/Interfaces/Discovery/MTable
folder of the Project tree.
Click for more details about the Catalog masking mechanism.
The purpose of the Advanced Masking Settings pop-up window is to allow setting up of additional masking parameters. This window includes the following:
The Advanced Masking Settings are defined per each Classification by using the above pop-up window.
The Submit button in this window aggregates the data in the application’s client side until saving is done using the Save button in the Classifier PII & Masking Setup tab.
Upon clicking the Save button in the Classifier PII & Masking Setup tab, the pii_profiling and catalog_classification_generators MTables are updated in Fabric's memory and in the Implementation/SharedObjects/Interfaces/Discovery/MTable
folder of the Project tree.
Starting from V8.1, the Classifier Sequence Setup tab was added to the Catalog Settings.
The Classifier Sequence Setup tab allows to set up the sequences that can be used in a project as part of the masking flow (note that usage of the sequences will be introduced in the next Fabric version).
This tab doesn't have a product built-in setup as the sequence names and definitions are always project specific.
Click the Add Record + button to create a sequence, and populate a Sequence Name, Generator and its parameters (PII, Verify Uniqueness indicators and the Advanced parameters, if needed), that will be used for generating a sequence value. The Generator can be any existing built-in actor, a custom actor or a flow, which should be created under the Shared Objects in the Fabric Studio.
Each sequence can have only one definition (row). Note that you cannot create a classification (via the PII & Masking Setup tab) with the same name as a sequence in this tab.
The purpose of the Advanced Sequence Settings pop-up window is to allow the setting up of additional sequence parameters; it is very similar to the Advanced Masking Settings pop-up window.
Upon clicking the Save button in the Classifier Sequence Setup tab, the pii_profiling and catalog_classification_generators MTables are updated in Fabric's memory and in the Implementation/SharedObjects/Interfaces/Discovery/MTable
folder of the Project tree.
The sequences are saved in the same MTable as the masking classifications - catalog_classification_generators, with the following difference: