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Discover how to dramatically reduce Apache Spark costs and optimize enterprise lakehouse performance in this 16-minute sponsored conference talk. Learn about the challenges of scaling enterprise lakehouse platforms, including resource waste, preventable data incidents, and complex troubleshooting that organizations face as they grow. Explore definity's full-stack observability solution that provides real-time job-level visibility across Databricks and Apache Spark environments, unifying infrastructure performance monitoring, pipeline execution tracking, and data behavior analysis. Understand how enterprise teams leverage this comprehensive observability platform to optimize Spark jobs, achieve significant cost savings in the millions, proactively maintain SLAs, prevent operational issues, and streamline root cause analysis processes. Gain insights from monitoring data collected across over 1 billion vCore-hours of Spark workloads and see practical examples of how organizations implement these optimization strategies in production environments.
