AWS re:Invent 2019: [REPEAT 1] Serverless stream processing pipeline best practices (SVS317-R1)
Published on Dec 07, 2019
Streaming data pipelines are increasingly used to replace batch processing with real-time decision-making for use cases including log processing, real-time monitoring, data lake analytics, and machine learning. Join this session to learn how to leverage Amazon Kinesis and AWS Lambda to solve real-time ingestion, processing, storage, and analytics challenges. We introduce design patterns and best practices as well as share a customer journey in building large-scale real-time serverless analytics capabilities.
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AWS re:Invent 2019: [REPEAT 1] Serverless stream processing pipeline best practices (SVS317-R1)
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AWS re:Invent 2019: IoT big data pipeline for serverless analytics and anomaly detection (CMY305)
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