Real-time BI systems often rely on _______ to capture and process incoming data streams quickly.
- Data Cubes
- Data Warehouses
- ETL (Extract, Transform, Load)
- Stream Processing
Real-time Business Intelligence (BI) systems frequently use Stream Processing to capture and process incoming data streams quickly. Stream processing enables real-time analysis and decision-making by handling continuous data flows.
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Related Quiz
- After loading data into a data warehouse, analysts find discrepancies in sales data. The ETL team is asked to trace back the origin of this data to verify its accuracy. What ETL concept will assist in this tracing process?
- Which method can be used to handle missing data in a dataset?
- Which table in a data warehouse provides context to the facts and is often used for filtering and grouping data in queries?
- In the context of ETL, what does data "transformation" primarily involve?
- During which ETL phase might you apply data cleansing operations, such as removing duplicates or correcting data inconsistencies?