Database System Concepts
7th Edition
ISBN: 9780078022159
Author: Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher: McGraw-Hill Education
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- Explain the CAP theorem in the context of distributed databases and provide examples of how different systems prioritize consistency, availability, and partition tolerance.arrow_forwardDistributed database systems, like other distributed systems, have an issue with concurrency management, which is similar to the problem that other distributed systems have. Considering that pieces are not duplicated, is it required to impose concurrency management methods such as 2PL (Two-phase locking) on a system? Explain.arrow_forwardIn stateless distributed systems, what considerations arise when handling "long-lived transactions" and maintaining data consistency?arrow_forward
- Explain the CAP theorem in the context of distributed databases, and discuss the trade-offs between consistency, availability, and partition tolerance.arrow_forwardExplain the concept of distributed deadlock detection and resolution in a distributed database environment. Provide an example scenario where distributed deadlock might occur and how it can be resolved.arrow_forwardDescribe the CAP theorem (Consistency, Availability, Partition tolerance) and how it relates to distributed database systems.arrow_forward
- Explain the concept of distributed transactions and the challenges associated with maintaining ACID properties in a distributed environment.arrow_forwardExplain the CAP theorem in the context of distributed databases. What are the implications of choosing consistency, availability, or partition tolerance in a distributed system?arrow_forward
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