What is the CAP theorem and why is it important?
The CAP theorem states that in a distributed data store, you can only guarantee two of the following three properties: Consistency, Availability, and Partition Tolerance.
Can you explain each of those properties?
Sure! Consistency means every read receives the most recent write. Availability means every request gets a response, regardless of success. Partition Tolerance means the system continues to operate despite network partitions.
How does this theorem affect database design?
It influences how databases are structured and the trade-offs developers must make, often leading to choices between consistency and availability.
Can you give an example of a database that prioritizes availability?
Amazon DynamoDB is a good example; it prioritizes availability and partition tolerance, allowing for eventual consistency.
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