Distributed Databases Questions
Data recovery in a distributed database refers to the process of restoring and recovering data in the event of a failure or system crash. It involves techniques such as backup and restore, replication, and transaction logging to ensure that data can be recovered and restored to its consistent state.
Allocation in a distributed database refers to the process of distributing and assigning data across multiple nodes or servers in the distributed system. It involves determining the optimal placement of data to ensure efficient access, load balancing, fault tolerance, and scalability. Allocation strategies can include techniques such as partitioning, replication, and fragmentation to distribute data across the network.