What are the common scalability challenges in databases?
Common challenges include handling increased load, data consistency, and managing distributed systems.
How do you handle data consistency in a distributed database?
Data consistency can be managed using techniques like eventual consistency, CAP theorem, and consensus algorithms.
What is the CAP theorem?
The CAP theorem states that a distributed data store can only guarantee two of the following three properties: Consistency, Availability, and Partition Tolerance.
Can you give examples of databases that implement these concepts?
Sure! Examples include Cassandra for availability and partition tolerance, and MongoDB for consistency.
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