AWS re:Invent 2019: IoT big data pipeline for serverless analytics and anomaly detection (CMY305)
Published on Dec 03, 2019
In this talk, we walk through the process of building an end-to-end big data pipeline using AWS managed services. Follow along and learn how to detect anomalous trajectories across different transportation industries ingesting IoT geo-referenced data and receiving real-time insights with Amazon Kinesis Data Analytics and AWS Glue. At the end of this session, you’ll understand how to customize and deploy this solution at scale.
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AWS re:Invent 2019: [REPEAT 1] Serverless stream processing pipeline best practices (SVS317-R1)
1:00:27
49:06
AWS re:Invent 2019: IoT big data pipeline for serverless analytics and anomaly detection (CMY305)
49:06
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Bajaj Housing Finance Limited: Serverless Data Pipelines with AWS Glue and Amazon Aurora PGSQL
6:13