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Learn how to architect and implement large-scale ETL processes for third-party APIs through a Hebrew-language technical talk that compares different distributed workload approaches. Explore the advantages and limitations of Apache Airflow, multi-threaded Python scripts, and AWS Lambda functions for handling data processing at scale. Gain practical insights into architectural considerations and best practices for choosing the right tool based on specific use cases and requirements. Master key concepts for optimizing performance and resource utilization when building distributed ETL pipelines.