What is the importance of scalability in data mining architectures?

Scalability ensures systems can handle increasing data volume and complexity.

Scalable data mining systems must handle growth in data volume (vertical scalability) and distributed workloads (horizontal scalability). Architectures using distributed storage, parallel computation, and cloud-native services allow efficient processing of petabyte-scale datasets. Scalability also impacts latency and cost-efficiency.