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Real-Time, Real Fast: Kafka & Spark for Data Engineers Specialization

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Coursera

Real-Time, Real Fast: Kafka & Spark for Data Engineers Specialization

Real-Time Kafka & Spark Data Engineering. Build fault-tolerant streaming pipelines processing millions of events with Kafka & Spark.

Caio Avelino
Jairo Sanchez

Instructors:

Included with Coursera Plus

Intermediate level

Recommended experience

4 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
Intermediate level

Recommended experience

4 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Design and optimize Kafka clusters for high throughput, low latency, and fault tolerance in production environments

  • Build end-to-end streaming pipelines with Spark Structured Streaming, exactly-once semantics, and schema evolution

  • Implement real-time dashboards, orchestration, and disaster recovery for enterprise streaming architectures

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Taught in English
Recently updated!

January 2026

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