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In this chalk talk, learn how to optimize your streaming data processing with AWS Lambda. Explore scenarios where default processing speeds may bottleneck workloads consuming messages from Apache Kafka, Amazon DynamoDB, or other sources—especially when data enrichment is required. Learn how to implement parallel processing techniques for ordered and unordered use cases to address throughput limitations. See a live demo showcasing performance improvements in an example message processing pipeline. Leave this talk with practical strategies for achieving high-throughput, scalable streaming workloads on Lambda.