Which of the following is NOT a characteristic of a data warehouse?
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Summarized queries that perform aggregations and joins
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Heterogeneous data sources
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Voluminous historical data
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Sub-second response time
Sub-second response times are characteristic of Online Transaction Processing (OLTP) systems rather than data warehouses. Data warehouses focus on complex analytical queries (OLAP) involving heavy aggregations and joins over massive volumes of historical, heterogeneous data, which typically require more processing time.
To answer this question, you need to understand the characteristics of a data warehouse. Let's go through each option to understand why it is correct or incorrect:
Option A) Summarized queries that perform aggregations and joins - This option is a characteristic of a data warehouse. Data warehouses are designed to support complex queries that involve aggregations and joins to provide summarized information.
Option B) Heterogeneous data sources - This option is a characteristic of a data warehouse. Data warehouses are built by integrating data from different sources, which may have different formats and structures. This allows for a comprehensive view of the data.
Option C) Voluminous historical data - This option is a characteristic of a data warehouse. Data warehouses store large amounts of historical data to support trend analysis, forecasting, and decision-making based on historical patterns.
Option D) Sub-second response time - This option is NOT a characteristic of a data warehouse. Data warehouses are optimized for analytical processing rather than real-time transactional processing. While they can provide fast query performance, sub-second response time is typically not a requirement for a data warehouse.
The correct answer is D) Sub-second response time. This option is not a characteristic of a data warehouse because data warehouses are not typically designed to provide sub-second response times.