Builds high-performance real-time streaming and event-driven applications using the Azure Event Hubs Java SDK.
This skill provides comprehensive patterns and best practices for integrating Azure Event Hubs into Java applications, enabling seamless high-throughput data ingestion and event streaming. It covers the full lifecycle of event processing, from creating producer and consumer clients to implementing production-grade EventProcessorClients with blob-based checkpointing. Whether you are building complex event-driven architectures or simple data pipelines, this skill guides you through efficient batching, partition management, and robust error handling to ensure reliable message delivery and processing at scale.
Key Features
01Efficient event batching and partition-specific routing patterns
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03Implementation of Sync and Async Producer/Consumer clients
04Production-ready event processing with Blob Checkpoint Store
05Secure authentication via Connection Strings or DefaultAzureCredential
06Robust error handling for transient AMQP exceptions and retries
Use Cases
01Building real-time data ingestion pipelines for big data analytics
02Capturing high-velocity telemetry and log data from distributed systems
