Solved Step by Step with Explanation Data Warehouse Architectures: Comparison

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iv. Centralized Data Warehouse Architecture

v. Federated Architecture

Solved Step by Step with Explanation Data Warehouse Architectures: Comparison

ii. Data Marts Bus Architecture:

Data Marts Bus Architecture extends the concept of independent data marts by introducing a common data layer, often referred to as the "bus." This layer contains shared dimensions and facts that are used across multiple data marts. By maintaining consistency in the shared data components, this architecture improves data integrity and reduces redundancy. Each data mart still serves the specific needs of its user group but can leverage the shared data layer for common information.

iv. Centralized Data Warehouse Architecture:

In this architecture, all data is stored in a single centralized data warehouse. The data is cleaned, integrated, and transformed into a common format before being made available for analysis. This approach ensures a high level of data consistency and allows for comprehensive enterprise-wide reporting and analysis. However, managing and maintaining a centralized warehouse can be resource-intensive.

Each of these data warehouse architectures has its strengths and weaknesses, and the choice depends on factors like the organization's size, data complexity, analytical requirements, and strategic goals.