A deliverable in the data security context diagram is the data security architecture.
Use business rules to support Data Integration and Interoperability at various points, to:
Data models comprise and contain metadata essential to data consumers.
Valuation information, as an example of data enrichment, is for asset valuation, inventory and sale.
The goals of Data Integration and Interoperability include:
Implementing a BI portfolio is about identifying the right tools for the right user communities within or across business units.
Data quality management is a key capability of a data management practice and organization.
SPARC published their three-schema approach to database management. The three key components were:
Effective document management requires clear policies and procedures, especially regarding retention and disposal of records.
Data security includes the planning, development and execution of security policies and procedures to provide authentication, authorisation, access and auditing of data and information assets.
SLA Stands for:
The minority of operational metadata is generated as data is processed.
Data profiling examples include:
Type of Reference Data Changes include:
Developing complex event processing solutions require:
