Building IoT Back-End Architecture
summary
Covers designing back-end architecture for Internet of Things systems, focusing on components like data ingestion, storage, and processing. Discusses concrete technologies and patterns for connecting devices, handling large streams of telemetry, and scaling the back end to support real‑time and batch workflows.
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chapters (20)
- 0:00Wildcard Unconference
- 7:54Pattern: Think big. Start small
- 10:05Pattern: Telemetry first
- 11:02Telemetry today
- 11:38Event Hubs and Stream Analytics
- 15:42JavaScript (to Event Hub)
- 19:14Pattern: Don't interrupt the fast path
- 19:38Pattern: Defense in depth
- 23:16Pattern: Build to the reference architecture
- 24:05Canonical scenarios
- 24:16Canonical Stream Analytics Pattern
- 24:44Introducing Azure Stream Analytics
- 25:00Mission critical
- 25:36Customers using Azure Stream Analytics
- 27:06Scenario - Twitter Analytics
- 28:48Hopping Windows
- 30:57Reference Data
- 31:50Multiple steps, multiple outputs
- 32:04Machine Learning
- 50:39Example Pricing
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