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Learn to optimize large-scale ETL workflows using PySpark and Apache Airflow in this 18-minute conference talk from Conf42 Kube Native 2025. Discover cloud-native ETL fundamentals and understand the key challenges faced when scaling data processing pipelines. Explore techniques for building stable foundations for your ETL infrastructure and dive deep into Spark performance optimization strategies. Master Airflow orchestration techniques to efficiently manage complex data workflows and implement comprehensive monitoring and observability practices. Follow a practical implementation roadmap that guides you through deploying optimized ETL solutions at scale, complete with real-world examples and best practices for production environments.
