Azure Event Hubs for Developers

Course details

As modern applications become more decentralized and developers need to create solutions for receiving and processing events generated from multiple sources, building data ingestion pipelines that are simple, trusted, and scalable has never been more important. In this course, instructor Nertil Poci guides you through building your Event Hubs environment, sending data and processing events. He goes in-depth into storage options, covering cost implications of various solutions. The course concludes with coverage of advanced Event Hubs topics. If you’re looking to use Azure Event Hubs to ingest data and create actionable insights, check out this course.

Concepts

0. Introduction

01 - Building real-time traffic monitoring systems with Azure Event Hubs

1. Getting Started with Event Hubs

02 - Introduction to real-time data with Event Hubs
03 - Creating your first Event Hub namespace
04 - Event Hub partitions and parallel processing
05 - Building Event Hub instances for data processing

2. Sending Data to Event Hubs

06 - Setting up the traffic simulator app
07 - Connecting and authenticating with Event Hubs
08 - Sending your first traffic data
09 - Quick data preview with Event Hub Explorer
10 - Event size and performance considerations
11 - Challenge - Set up an Event Hub instance and send events
12 - Solution - Set up an Event Hub instance and send events

3. Processing Real-Time Events

13 - Real-time processing with Azure Stream Analytics
14 - Processing events with Azure Functions
15 - Connecting to Azure SignalR
16 - Streaming with Azure SignalR

4. Designing a Real-Time Storage Pipeline with Event Hubs

17 - Understanding storage scenarios and patterns
18 - Capturing raw events to Azure Blob Storage
19 - Enriching streaming data with external context
20 - Storing real-time traffic snapshots in Cosmos DB
21 - Real-time updates with Cosmos DB change feed
22 - Using a no-code editor
23 - Other inputs and outputs
24 - Challenge - Build a real-time traffic processing pipeline
25 - Solution - Build a real-time traffic processing pipeline

5. Advanced Event Hub Topics

26 - Autoscaling Event Hubs with auto-inflate
27 - Disaster recovery
28 - Monitoring and alerting in Event Hubs
29 - Configuring advanced Stream Analytics settings for robust event processing

Conclusion

30 - Continue learning Azure Event Hubs