Distributed Databases Questions
Data fragmentation refers to the process of dividing a database into smaller subsets or fragments and distributing them across multiple nodes or servers in a distributed database system. Each fragment contains a subset of the data, and together they make up the entire database.
On the other hand, data replication involves creating and maintaining multiple copies of the same data across different nodes or servers in a distributed database. These copies are synchronized to ensure consistency and availability of data.
Both data fragmentation and replication are techniques used in distributed databases to improve performance, scalability, and fault tolerance. Fragmentation allows for parallel processing and reduces the amount of data transferred between nodes, while replication enhances data availability and reliability by providing redundancy.