distributed database systems.
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- Describe the CAP theorem (Consistency, Availability, Partition tolerance) and how it relates to distributed
database systems.
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- Explain the concept of distributed deadlock detection and resolution in a distributed database system. What strategies can be employed to handle deadlocks efficiently?In the context of distributed database systems, explain the concept of distributed deadlock detection and resolution.Describe the principles behind the CAP theorem and its implications on distributed database architectures.
- Explain the CAP theorem and its relevance in distributed database systems. Provide examples of trade-offs between consistency, availability, and partition tolerance.In a distributed database system, consider the many data request situations that may arise.Explain the concept of data sharding in the context of distributed database architectures.
- Explain the CAP theorem in the context of distributed systems. How does it influence the design and trade-offs in distributed database systems?Describe the CAP theorem and its implications for distributed database systems.Explain the concept of consensus algorithms such as Paxos and Raft in the context of distributed database systems.