Data Flow Source
A Data Flow Source is a data source that provides continuous data through transmission mechanisms (to support data processing and data analysis).
- AKA: Data Provider.
- Context:
- It can deliver Data Content through flow mechanisms.
- It can maintain Data Transmission via delivery protocols.
- It can support Data Processing with processing systems.
- It can enable Data Analysis through analysis components.
- It can handle Data Volume via buffering systems.
- ...
- It can often manage Data Rate through flow controls.
- It can often ensure Data Integrity via validation checks.
- It can often provide Data Access through interface protocols.
- It can often support Data Format via format handlers.
- ...
- It can range from being a Batch Data Flow Source to being a Continuous Data Flow Source, depending on its flow pattern.
- It can range from being a Simple Data Flow Source to being a Complex Data Flow Source, depending on its data complexity.
- It can range from being a Single Format Flow Source to being a Multi Format Flow Source, depending on its format support.
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- It can integrate with Data Flow Processor for flow processing.
- It can connect to Data Flow Consumer for data consumption.
- It can support Data Pipeline for data movement.
- ...
- Example(s):
- System Data Flows, such as:
- Application Data Flows, such as:
- Device Data Flows, such as:
- Integration Data Flows, such as:
- ...
- Counter-Example(s):
- Static Data Source, which lacks data movement.
- Data Storage, which focuses on data persistence.
- Data Archive, which emphasizes historical preservation.
- Data Cache, which prioritizes quick access over flow.
- See: Data Source, Data Stream Source, Real-Time Data Source, Data Pipeline, Data Processing, Data Flow, Continuous Processing.