AWS re:Invent 2017: Combining Batch and Stream Processing to Get the Best of Both Wo (ABD330)
Published on Nov 28, 2017
Today, many architects and developers are looking to build solutions that integrate batch and real-time data processing, and deliver the best of both approaches. Lambda architecture (not to be confused with the AWS Lambda service) is a design pattern that leverages both batch and real-time processing within a single solution to meet the latency, accuracy, and throughput requirements of big data use cases. Come join us for a discussion on how to implement Lambda architecture (batch, speed, and serving layers) and best practices for data processing, loading, and performance tuning.
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AWS re:Invent 2017: From Batch to Streaming: How Amazon Flex Uses Real-time Analytic (ABD217)
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AWS re:Invent 2017: Combining Batch and Stream Processing to Get the Best of Both Wo (ABD330)
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AWS re:Invent 2017: Healthcare Payers and Serverless Batch Processing Engines (HLC308)
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