Data Source
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A Data Source is a system component that provides data sets (to support data-driven processes and data-driven systems).
- Context:
- It can generate Data Content through data generation mechanisms.
- It can provide Data Access via access interfaces.
- It can maintain Data Format through format specifications.
- It can ensure Data Quality via quality controls.
- It can support Data Availability through delivery mechanisms.
- It can often include Data Schema with structural elements.
- It can often enable Data Discovery through metadata services.
- It can often support Data Integration via integration protocols.
- It can often maintain Data Freshness through update mechanisms.
- ...
- It can range from being a Batch Data Source to being a Real-Time Data Source, depending on its delivery mode.
- It can range from being a Static Data Source to being a Dynamic Data Source, depending on its update frequency.
- It can range from being a Simple Data Source to being a Complex Data Source, depending on its data structure.
- It can range from being a Raw Data Source to being a Processed Data Source, depending on its processing level.
- It can range from being a Single Data Source to being a Federated Data Source, depending on its distribution model.
- It can range from being a Structured Data Source to being an Unstructured Data Source, depending on its data format.
- It can range from being a Point Data Source to being a Data Flow Source, depending on its temporal continuity.
- ...
- It can integrate with Data Consumer for data consumption.
- It can connect to Data Pipeline for data flow.
- It can support Data Repository for data storage.
- ...
- Examples:
- Enterprise Data Sources, such as:
- Research Data Sources, such as:
- Academic Repositorys, such as:
- Clinical Sources, such as:
- Technology Data Sources, such as:
- Stream Systems, such as:
- Sensor Networks, such as:
- Web Data Sources, such as:
- Content Feeds, such as:
- E-Commerce Feeds, such as:
- AI Training Sources, such as:
- Model Training Datas, such as:
- Specialized Corpuses, such as:
- Integration Sources, such as:
- Enterprise Integrations, such as:
- Data Lake Sources, such as:
- Government Data Sources, such as:
- Public Datasets, such as:
- Regulatory Feeds, such as:
- Social Data Sources, such as:
- Social Media Feeds, such as:
- Community Datas, such as:
- Weather Data Sources, such as:
- Meteorological Feeds, such as:
- Climate Datas, such as:
- ...
- Counter-Example(s):
- Computation Resource, which processes rather than provides data.
- Data Sink, which consumes rather than provides data.
- Data Cache, which temporarily stores rather than originates data.
- Data Proxy, which forwards rather than generates data.
- See: Data Provider, Data Origin, Data System, Data Collection Task, Real-Time Computing, E-Commerce, Internet Marketing.
References
2024
- (Wikipedia, 2024) ⇒ https://en.wikipedia.org/wiki/Data_feed Retrieved:2024-12-23.
- Data feed is a mechanism for users to receive updated data from data sources. It is commonly used by real-time applications in point-to-point settings as well as on the World Wide Web. The latter is also called web feed. News feed is a popular form of web feed. RSS feed makes dissemination of blogs easy. Product feeds play increasingly important role in e-commerce and internet marketing, as well as news distribution, financial markets, and cybersecurity. Data feeds usually require structured data that include different labelled fields, such as "title" or "product".
2014
- (Wikipedia, 2014) ⇒ http://en.wikipedia.org/wiki/data_feed Retrieved:2014-2-10.
- Data feed is a mechanism for users to receive updated data from data sources. It is commonly used by real-time applications in point-to-point settings as well as on the World Wide Web. The latter is also called web feed. News feed is a popular form of web feed. RSS feed makes dissemination of blogs easy. Product feeds play increasingly important role in e-commerce and internet marketing. Data feeds usually requires structured data. At the present time unstructured data, e.g. HTML pages, dominate the Web. As a result, data feeds have the potential to make a bigger impact on the Web in the future.