Podcast
Questions and Answers
What is a key feature of a Data Warehouse that makes it subject-oriented?
What is a key feature of a Data Warehouse that makes it subject-oriented?
- It integrates data from different sources
- It focuses on enterprise-specific concepts (correct)
- It allows over-writing and deletion of data
- It shows its evolution over time
In a Data Warehouse, what does it mean for the data to be integrated and consistent?
In a Data Warehouse, what does it mean for the data to be integrated and consistent?
- Data allows over-writing and deletion
- Data is integrated from different sources and provides a unified view (correct)
- Data is static, read-only, and retained for future reporting
- Data shows its evolution over time
What happens to the data in a Data Warehouse once it is committed?
What happens to the data in a Data Warehouse once it is committed?
- It is over-written or deleted to make space for new data
- It is static, read-only, and retained for future reporting (correct)
- It becomes volatile and shows changes over time
- It loses its integrated and consistent nature
What is one of the key characteristics of a Data Warehouse's handling of changes to the data?
What is one of the key characteristics of a Data Warehouse's handling of changes to the data?
Study Notes
Data Warehouse Characteristics
- A key feature of a Data Warehouse is that it is subject-oriented, meaning it is organized around specific business subjects or areas of interest.
Data Integration and Consistency
- In a Data Warehouse, data is integrated and consistent, meaning it is combined from multiple sources and transformed into a unified view, ensuring consistency in formatting and naming conventions.
Data Updates and Commitments
- Once data is committed to a Data Warehouse, it is not updated or deleted, but rather, new data is added to reflect changes over time, maintaining a historical record of all data.
Handling Changes to Data
- One of the key characteristics of a Data Warehouse's handling of changes to the data is that it is time-variant, meaning it tracks changes to the data over time, rather than updating the existing data in place.
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Description
Test your knowledge of the features of a data warehouse with this quiz. Learn about its subject-oriented nature, integrated and consistent data, non-volatile evolution over time, and more.