Data Warehousing - Data Warehouse Development
9 important questions on Data Warehousing - Data Warehouse Development
What are five direct benefits of a data warehouse?
- Extensive analysis by end-users
- Consolidated view of the organization's data (single version of the truth)
- Better and more timely information
- Enhanced system performance
- Simplified data access
What are indirect benefits of a data warehouse?
For analyis of the return on investment of a data warehouse, the benefits can be categorized as?
- Keepers. Savings from improved traditional decision support.
- Gatherers. Savings because of automation of collection and publishing of information.
- Users. Savings or gains from decisions made using the data warehouse.
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What are the two competing approaches to data warehouse development?
- Top-down enterprise data warehouse approach (Inmon). Build an enterprise-wide data warehouse that provides a consistent and comprehensive view of the organization.
- Bottom-up data marts approach (Kimball).
Describe the independent data marts DWH architecture (with pros and cons)
Pros:
- Simple
- Cheap
- Inconsistent data definitions
- Different dimensions and measures
Describe the data mart bus DWH architecture (with pros and cons)
Pros:
- Consistent data
- Enables complex queries
Cons:
- Possible performance issues in complex queries
Describe the hub-and-spoke DWH architecture (with pros and cons)
Pros:
- Scalable and maintable
- Easily customizable
- May lead to data redundancy
- May suffer from data latency
Describe the centralized DWH architecture (with pros and cons)
Pros:
- Provides timely and holistic view of the organisation
- Reduces amount of data transfer
None
Describe the federated DWH architecture (with pros and cons)
Pros:
- Integrated view of the organisation
- No data transfer
- Does not resolve data inconsistencies
- Puts query load on source systems
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