An option in Data Marketplace that determines whether Data Access Management creates a unique delivery location for each order. Select the option when you define a delivery template in Data Marketplace. If you enable the option, Data Access Management customizes the data that the stakeholder of a data collection delivers according to the data access policies defined for your organization.
Used by Data Marketplace.
managed service
A service for which you can manage and monitor API access with usage policies and analytics.
Used by API Manager.
mapping
An asset that defines data flow logic that you can use in mapping tasks.
Used by Data Integration.
mapping task
A task that allows you to process data based on the data flow logic defined in a mapping.
Used by Data Integration.
mapplet
Transformation logic that you can create and use to transform source data before it is loaded into the target. Previously known as a plug-in.
Used by Data Integration.
mask rule parameter
A placeholder for a value that you can use when you configure a Data Masking transformation object in a mapping. A mask rule parameter can hold masking technique information that you can add when you run the mapping instead of when you create the mapping.
Used by Data Integration.
masking rule
A built-in masking type that you can apply to a selected field in a masking task. You choose the masking rule based on the data type of the field that you want to mask. The masking rule contains the logic to mask the data.
Used by Data Integration.
masking task
A task that creates realistic test data from production source data. The format of the original columns and relationships between the rows are preserved in the masked data. A masking task can include data filters to create a subset or mapplets for the masking logic.
Used by Data Integration.
masking techniques
Types of data masking that you can apply to a column when you use the data masking transformation.
Used by Data Integration.
master data
The core entities and data that are critical to the operations of an organization. For example, master data includes customer, product, employee, and location data.
Used by Master Data Management.
master data domain
An area of data critical to the organization that is managed at the enterprise level to support semantic consistency across the organization. Common master data domains include Customer, Supplier, Location, Channel, Partner, Product, Asset, and General Ledger Account.
Used by Master Data Management.
master record
The consolidated version of source records from multiple external systems.
Used by Master Data Management.
match rule
A rule that defines the criteria by which to match records.
Used by Master Data Management.
match score
A score assigned to a pair of matched records. Match scores are based on match rules. A high score indicates a close match.
Used by Master Data Management, Data Quality, Data Integration.
matching
The process of comparing records based on a set of criteria or rules and identifying duplicate records.
In Master Data Management and Data Quality, the match process identifies duplicates and also identifies related records.
Used by Master Data Management, Data Quality.
matching record
A record that is identical or similar to another record. All matches might not be duplicates.
Used by Master Data Management.
merge
The process to consolidate similar records into a single master record.
Used by Master Data Management.
merge candidate
A potential contributor to a master record. Merge candidates can be included or excluded from the merge process.
Used by Master Data Management.
monitoring rule
Defines which assets to monitor, the event statuses that trigger actions, and the actions to take when an event is in a defined status.
Used by B2B Gateway, Integration Hub.
most frequent values
Values that appear frequently in a column compared to the rest of the values.
Used by Data Profiling.
multidomain
The mastering of critical data across multiple master data domains concurrently. Multidomain MDM encompasses related master data domains that are central to an organization’s business and business processes. The observations that arise out of multidomain master data are of significant interest to business executives.