Streaming Data: Don’t Miss the Train, Don’t Wait in Vain
summary
Covers building real-time streaming data pipelines using technologies like containers, orchestrators and cloud to enable analytics and prediction. Explains streaming architecture, open-source frameworks for high-performance, robust, scalable processing, and demonstrates via theory, live coding and demos how to detect fraud, predict train delays, make real-time product recommendations and time content publication.
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chapters (8)
- 0:00Introduction
- 13:12Demo architecture
- 17:33Deploying data grid on OpenShift
- 22:13Testing connectivity
- 31:42Injecting train data
- 41:23Deploying continuous query
- 45:14Real-time dashboard
- 49:11Q&A
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