10 Questions
What does it mean for a data warehouse to be subject-oriented?
It focuses on analyzing a specific subject area
Why is historical data kept in a data warehouse?
To support analysis over time
What does it mean for a data warehouse to be non-volatile?
Data cannot be altered once it's in the warehouse
How does a data warehouse differ from a transaction system in terms of time-variant data?
In a data warehouse, historical data is maintained for analysis over time
Why does a data warehouse integrate data from multiple sources?
To unify different ways of identifying the same entity
What does it mean for a data warehouse to be subject-oriented?
A data warehouse is subject-oriented as it can be used to analyze a particular subject area, such as 'sales'.
Why is historical data kept in a data warehouse?
Historical data is kept in a data warehouse to enable retrieval of data from various time periods, like 3 months, 6 months, or even older data.
What does it mean for a data warehouse to be non-volatile?
A data warehouse is non-volatile as once data is stored in it, it will not change.
How does a data warehouse differ from a transaction system in terms of data retention?
Data warehouses retain historical data for analysis over time, while transaction systems often only hold the most recent data.
Why does a data warehouse integrate data from multiple sources?
A data warehouse integrates data from multiple sources to provide a unified view with consistent data identifiers.
Learn about the key characteristics of a data warehouse, such as being subject-oriented, integrated, time-variant, and non-volatile. Understand how data warehouses support management decision-making processes by providing a centralized and structured collection of data from various sources.
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