What is meant by Multiple data sources?
The term "multiple data sources" refers to the use of various origin points for data that are processed within a system or application. These data sources can come from internal systems, external databases, APIs, cloud services, or other information sources. Integrating multiple data sources enables more comprehensive analysis, better decision-making, and the creation of reports based on a broad data foundation.
Typical software functions in the area of "multiple data sources":
- Data Integration: Merging data from various sources into a unified format for further processing.
- Data Matching: Comparing and reconciling data from different sources to ensure consistency and accuracy.
- Real-Time Data Access: Accessing data from multiple sources in real time to provide up-to-date information.
- Reporting and Analysis: Generating reports and dashboards that combine and analyze data from various sources.
- API Integration: Connecting and utilizing external APIs to retrieve or update data in real time.
- Data Visualization: Representing data from multiple sources in graphical form for easier analysis and interpretation.
- Data Cleansing: Identifying and correcting data errors or inconsistencies arising from different sources.