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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.
Included with
Recommended experience
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
Skills you'll gain
- Performance Tuning
- Data Governance
- Event-Driven Programming
- Apache Kafka
- Data Pipelines
- Data Processing
- Grafana
- Operational Databases
- System Monitoring
- Prometheus (Software)
- Scalability
- Fraud detection
- PySpark
- Apache Spark
- Data Integrity
- Real Time Data
- Disaster Recovery
- Data Architecture
- Docker (Software)
- Data Transformation
Details to know

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January 2026
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Frequently asked questions
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