Which database architecture is optimal for projects requiring heterogeneous data integration?

Which database architecture is optimal for projects requiring heterogeneous data integration?

• A. Blockchain database
• B. Centralized database
• C. Distributed database
• D. Federated database

Answer: (D)

The federated database architecture is optimal for projects requiring heterogeneous data integration because it is specifically designed to support multiple, autonomous databases that can exist in diverse environments. In a federated database system, each participating database retains its own management system, allowing for independence and flexibility, yet they are integrated to provide a single, unified access layer. This approach enables organizations to integrate data from various sources, which may differ in formats, systems, or structures, while facilitating seamless querying across these various databases. The federated model is particularly advantageous for organizations that may operate with different database technologies, as it allows for the integration of all these disparate systems without necessitating a complete overhaul into a single unified system. This minimizes disruption while maximizing the value of existing data assets. In contrast, other architectures such as centralized and distributed databases are less suited for heterogeneous integration. Centralized databases typically consolidate all data into a single physical location, which may not accommodate various types of data sources well. Distributed databases can manage data across different locations but often require more uniformity in the types of data they handle, making them less flexible for widely varied systems. Meanwhile, a blockchain database focuses on decentralized, secure transactions rather than integration of varied data types across different systems. Thus, federated databases stand

The federated database architecture is optimal for projects requiring heterogeneous data integration because it is specifically designed to support multiple, autonomous databases that can exist in diverse environments. In a federated database system, each participating database retains its own management system, allowing for independence and flexibility, yet they are integrated to provide a single, unified access layer. This approach enables organizations to integrate data from various sources, which may differ in formats, systems, or structures, while facilitating seamless querying across these various databases.

The federated model is particularly advantageous for organizations that may operate with different database technologies, as it allows for the integration of all these disparate systems without necessitating a complete overhaul into a single unified system. This minimizes disruption while maximizing the value of existing data assets.

In contrast, other architectures such as centralized and distributed databases are less suited for heterogeneous integration. Centralized databases typically consolidate all data into a single physical location, which may not accommodate various types of data sources well. Distributed databases can manage data across different locations but often require more uniformity in the types of data they handle, making them less flexible for widely varied systems. Meanwhile, a blockchain database focuses on decentralized, secure transactions rather than integration of varied data types across different systems. Thus, federated databases stand