Azure Event Hubs: Build Scalable Event Streaming Pipelines

In modern cloud architectures, handling massive volumes of real-time data is critical for building responsive, data-driven applications. Azure Event Hubs provides the highly scalable data streaming platform needed to ingest, store, and process millions of events per second. This text-based course guides you through the core concepts, architecture, and practical implementation of Azure Event Hubs. You will transition from understanding basic event ingestion to building and scaling robust, real-time data pipelines. What you will learn: Understand the foundational concepts of event-driven architecture, partition models, and consumer groups; Configure Azure Event Hubs namespaces, hubs, and throughput units for optimal performance; Implement event ingestion and consumption using modern Azure SDKs and code-based examples; Capture streaming data automatically into Azure Blob Storage or Azure Data Lake; Secure your event streams using modern identity-based access control and connection policies; Scale event-processing applications efficiently using the Event Processor Host pattern. You will start by exploring essential terminology and foundational architecture before diving into step-by-step configuration and practical coding patterns. Through clear written explanations and structured code snippets, you will learn how to integrate Event Hubs into your broader cloud ecosystem. This course is designed for beginner cloud developers, data engineers, and architects looking to master event streaming. No prior experience with Azure Event Hubs is required, though a basic understanding of cloud concepts is helpful. Start reading today to unlock the power of real-time data streaming in the cloud.