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?

Benefits resulting from users that profit from the direct benefits (e.g. enhanced business knowledge, competitive advantage, improved customer service/satisfaction).

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)

The data warehouse consists of a set of independent data marts

Pros:
  • Simple
  • Cheap
Cons:
  • Inconsistent data definitions
  • Different dimensions and measures

Describe the data mart bus DWH architecture (with pros and cons)

The data warehouse consists of a set of data marts that are linked to each other

Pros:
  • Consistent data
  • Enables complex queries

Cons:
  • Possible performance issues in complex queries

Describe the hub-and-spoke DWH architecture (with pros and cons)

The data warehouse consists of a centralized data warehouse with data marts that depend on it

Pros:
  • Scalable and maintable
  • Easily customizable
Cons:
  • May lead to data redundancy
  • May suffer from data latency

Describe the centralized DWH architecture (with pros and cons)

A large enterprise data warehouse that exposes users to all enterprise data

Pros:
  • Provides timely and holistic view of the organisation
  • Reduces amount of data transfer
Cons:
None

Describe the federated DWH architecture (with pros and cons)

Using XML-based middleware, a view is created on data distributed across the organisation; queries are automatically run on the source systems.

Pros:
  • Integrated view of the organisation
  • No data transfer
Cons:
  • Does not resolve data inconsistencies
  • Puts query load on source systems

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