This chapter covers Azure Event Hubs, a high-volume event streaming platform. AZ-900 tests this under objective 2.2.
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A simple way to picture Azure Event Hubs
A regular email inbox handles messages from people. A large organization's mail room receives massive volumes of packages and mail, forwarding them efficiently. Event Hubs handles high-volume event streams like a mail room: it ingests massive numbers of events and makes them available for processing.
What Event Hubs does
Event Hubs ingests high-volume streams of events (from devices, applications, or other sources) and makes them available for real-time or batch processing.
Throughput and scale
Event Hubs is designed for massive scale — millions of events per second — unlike Event Grid which routes individual events.
Common use cases
IoT scenarios (sensor data), real-time analytics, application telemetry — anywhere massive event volumes need efficient ingestion and processing.
Create an Event Hub namespace
A namespace is created to contain event hubs.
Create event hubs
Individual event hubs within the namespace ingest events.
Send events to the hub
Event producers send events to the hub.
Consume events
Consumers read and process events from the hub.
IoT devices send sensor data to Event Hubs at massive volume; stream processing extracts insights in real-time.
Objective 2.2 expects understanding of Event Hubs for high-volume event streaming, distinct from Event Grid.
Common wrong answer: confusing with Event Grid — Event Hubs handles high-volume streams; Event Grid routes individual events.
Stable terms: Event Hubs, streaming. Memory trick: Event Hubs = high-volume event ingestion and streaming.
Event Hubs ingests high-volume event streams.
Designed for massive scale (millions of events/sec).
Used for IoT, real-time analytics, telemetry.
Mistake
Event Hubs and Event Grid are interchangeable.
Correct
Event Grid routes individual events between services; Event Hubs ingests massive event volumes for streaming.
It's a platform for ingesting and processing high-volume event streams, designed for massive scale like IoT or real-time analytics.
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