Process Real-Time Data with Spark Streams
Completed by Eduarda Lopes Machado
August 2, 2026
5 hours (approximately)
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What you will learn
Explain the execution model of Spark Structured Streaming and build a simple pipeline from a file source to a console sink.
Develop streaming pipelines that integrate with Kafka, apply event-time processing with watermarks, and write reliable outputs to Delta Lake.
Build an end-to-end Spark streaming pipeline that can be deployed in real-world production environments.
Skills you will gain
- Category: Data Transformation
- Category: Live Streaming
- Category: Data-Driven Decision-Making
- Category: Apache Spark
- Category: Apache Kafka
- Category: Data Pipelines
- Category: Data Lakes
- Category: Real Time Data
- Category: JSON
- Category: Scalability
- Category: PySpark
- Category: Event Monitoring
