Data dependency in computer science can lead to performance issues as it may create bottlenecks and limit parallel processing capabilities. It can also increase the risk of errors and hinder the efficiency of multi-threaded or distributed systems. Additionally, data dependency can make it difficult to optimize code for speed and scalability.
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