Big Data Engineering Course
This course provides hands-on training in big data engineering, covering pipeline design, processing with Spark and Flink, storage optimization, data quality, and cost management for scalable systems.

flexible workload from 4 to 360h
valid certificate in your country
What will I learn?
The Big Data Engineering Course equips you with practical skills to design and manage reliable data pipelines from start to finish. You will learn about streaming and batch data ingestion, handling schemas, and ensuring secure data movement. Build strong stream and batch processing using Spark, Flink, and Kafka, get to grips with storage systems, maintain data quality, and use performance tweaks and cost management to operate scalable and efficient data setups.
Elevify advantages
Develop skills
- Design streaming and batch pipelines: build robust, low-latency data flows quickly.
- Optimize big data storage: select formats, partitions, and compression for better speed.
- Tune Spark and Flink jobs: adjust resources for top performance at reduced cost.
- Implement data quality checks: automate validation, lineage tracking, and recovery processes.
- Control cloud data costs: use tiered storage, indexing, and auto-scaling features.
Suggested summary
Before starting, you can change the chapters and workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
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