Metadata Management Flashcards
What is the data dictionary?
The data dictionary is a repository of metadata that contains information about various aspects of the data model including fields and relationships among objects.
Why is a data dictionary needed?
The data dictionary is needed to document how the business or data entities should be defined and related to one another in a particular enterprise system.
How is the data dictionary used?
Entity-relationship diagrams and Metadata API can be utilized to build a data dictionary for the customization information in Salesforce.
What is data taxonomy?
Data taxonomy means classifying data into categories and subcategories while defining common terms and semantics for multiple enterprise systems.
Why is data taxonomy needed?
Data taxonomies are needed to add consistency to a particular type of data when it is used by multiple enterprise systems in an organization.
What is data classification?
Data classification refers to organizing data into relevant categories based on risk levels and required security so that they can be used and protected more efficiently
Why is data classification necessary?
Data classification is used to define different levels of sensitivity and impact to comply with regulations and make it easier to locate and retrieve data.
How are data classifications used?
Data classification typically consists of data discovery, identification, categorization, and definition of security controls and groups.
What is data lineage?
Data lineage refers to the lifecycle of data, which includes its origin and how it is manipulated as it moves between systems within the enterprise landscape.
How are data lineages used?
Data lineage is used when data is integrated with one or more enterprise systems to establish how it is affected by various data operations.
Why is the data lineage needed?
Data lineage can be defined by specifying information such as integration specifications, data origins, operations and movement of data.