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Functional Data Warehouse

A functional data warehouse (FDW) is a type of data warehouse that is organized around specific business functions, rather than being organized around departments or subject areas.

In a traditional data warehouse, data is organized into subject areas, such as finance, sales, and customer relationship management. This can lead to data silos, as data is often only accessible by the departments that own it.

In contrast, an FDW organizes data around specific business functions, such as supply chain management, product management, or human resources. This helps to break down data silos and provides a more holistic view of business operations.

Some of the key features and benefits of an FDW include:

  1. Business function focus: An FDW is designed to support specific business functions, providing a more targeted and relevant view of data for users.

  2. Data integration: An FDW integrates data from multiple sources, providing a complete view of business operations.

  3. Real-time data access: An FDW provides real-time access to data, enabling organizations to make faster and more informed decisions.

  4. Data governance: An FDW provides centralized data governance capabilities, making it easier to enforce data policies and standards.

  5. Scalability: An FDW is designed to be highly scalable, allowing organizations to handle large volumes of data as their needs grow over time.

  6. Agility: An FDW enables organizations to quickly adapt to changing business requirements by providing a flexible and agile data integration architecture.

In summary, a functional data warehouse is a type of data warehouse that is organized around specific business functions, rather than being organized around departments or subject areas. It provides benefits such as business function focus, data integration, real-time data access, data governance, scalability, and agility.





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