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rajan889262
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Re: Notebook concurrency in data pipelines not working
"First, We verify that the pipeline is configured to run notebooks in parallel and not sequentially. Then, we check whether the Databricks cluster has sufficient resources and autoscaling enabled. we review the job logs to see if executions are queued or waiting for cluster availability. we also check for Spark scheduling issues or concurrent access to the same data. Based on the findings, we scale the cluster, adjust concurrency settings, or optimize the notebook execution to restore parallel processing."90Views0likes0Comments
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