Data Flow
Describes the path data takes from its original source to its destination point.
Data Flow describes the path data takes from its original source to its destination point, including all systems and processes encountered along the way. This includes its transmission, storage, and transformation. Understanding this flow is crucial for data management, ensuring security, integrity, and compliance with regulations.
Important aspects of data flow include:
- •Data Sources: Where data originates (users, external systems, sensors, etc.)
- •Transformations: How data is modified, cleaned, or enriched
- •Storage: Where data is kept (databases, data lakes, etc.)
- •Destinations: Where data is used (reports, applications, analytics)
Mapping data flows is essential for GDPR compliance and IT security.
All terms
Application
A computer program or set of programs designed to streamline business operations.
Architecture
Refers to the structure and behavior of IT systems, processes, and infrastructure within an organization.
CMDB
Configuration Management Database: a comprehensive repository of information about IT components.
IT Mapping
The process of visually delineating an organization's IT infrastructure.
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