What is the impact of data locality on performance?
Data locality refers to the proximity of data to the processing unit. When data is stored close to where it's processed, it reduces latency and increases speed.
Can you give me an example of how data locality affects a database query?
Sure! If a database is distributed across multiple servers, a query that accesses data on the same server will be faster than one that requires data from a distant server.
What are some strategies to improve data locality?
Some strategies include data partitioning, caching frequently accessed data, and using in-memory databases to keep data close to the processing unit.
Does data locality impact cloud computing?
Yes, in cloud computing, data locality can significantly affect performance, especially in applications that require real-time processing.
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