DP-700 - Monitor and Optimize an Analytics Solution - Section 3.8
Optimize a pipeline, Spark performance, and Eventstreams and Eventhouses.
Tune pipeline parallelism and degree of copy parallelism, right-size Spark pools with autoscale, and use partition pruning and caching to reduce Spark job duration. Configure Eventhouse caching and retention policies and adjust Eventstream throughput settings to meet latency targets.
pipeline parallelism and degree of copy parallelismSpark pool sizing and autoscalepartition pruning and caching in SparkEventhouse caching and retention policiesEventstream throughput tuning
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