Summary
Performance optimization for DLT involves identifying CPU, memory, and IO bottlenecks and adjusting instance types, partition sizes, and autoscaling strategies to balance cost and speed. Databricks offers built-in optimizations like liquid clustering, Photon vectorized execution, microbatch pipelining, and Enzyme to reduce workload latency and cost automatically.
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