Which of the following are basic data distribution strategies?

Explanation

In distributed database systems, data distribution strategies determine how data is physically scattered across multiple locations or servers. Each strategy offers advantages and disadvantages depending on the specific needs of the system.Centralized: In a centralized approach, all data is stored in one location. This simplifies management and ensures data consistency, but can become a bottleneck for performance and can be a single point of failure.Partitioned: Partitioning divides the database into smaller, self-contained segments based on certain criteria (e.g., customer region, product category). This allows users to access data locally, improving performance and scalability. However, managing partitioned data can be more complex.Replicated: Replication involves storing copies of frequently accessed data on multiple servers. This enhances data availability and fault tolerance but increases storage requirements and introduces the challenge of maintaining data consistency across replicas.Choosing the right strategy often involves a combination of these approaches. A hybrid strategy might store critical data centrally for consistency while replicating frequently accessed tables in geographically distributed locations for better performance and availability.