Udemy – Apache Flink: Build Real-Time Streaming Data Pipelines

Master real-time data processing with Apache Flink. Build scalable, fault-tolerant, high-throughput streaming pipelines from scratch using production standards.

Who this course is for:

• Data Engineers looking to master real-time distributed stream processing.
• Software Engineers transitioning into data architecture and pipeline development.
• Backend Developers working with Apache Kafka, CDC, or event-driven systems.
• System Architects designing enterprise real-time analytics platforms.

What you will learn:

• Build end-to-end streaming data pipelines using Apache Flink and Java.
• Ingest streaming datasets from Apache Kafka, CDC connectors, and enterprise sources.
• Process stateful event streams using the Flink DataStream API.
• Implement tumbling, sliding, and session event-time processing windows.
• Configure event watermarks to manage delayed or out-of-order data streams.
• Utilize state backends including RocksDB for high-volume enterprise state sizes.
• Deliver processing results into transactional production sinks with zero data loss guarantees.
• Recover processing pipelines seamlessly using distributed checkpoints and savepoints.