Real-time Data Processing with Cloud Dataflow
summary
Covers using Google Cloud technologies—especially Cloud Dataflow—to process large volumes of real-time data for games, apps, and IoT sensor scenarios. Presents architectures and Google Cloud tools that simplify building real-time data-processing solutions.
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chapters (11)
- 0:00Introduction to processing
- 3:00What is real-time processing
- 8:05Apache Beam model
- 11:58Transformations and collections
- 16:32Windows and aggregations
- 19:44Watermarks and triggers
- 26:22Late events and handling
- 31:23Data accumulation and discard
- 32:52Cloud Dataflow platform
- 34:00Demo: Traffic simulator
- 39:19Resources and next steps
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