Big Data Engineering Course
This course provides hands-on training in building and managing scalable big data pipelines using tools like Spark, Flink, and Kafka, focusing on ingestion, processing, storage, quality assurance, and cost optimization.

from 4 to 360h flexible workload
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'll learn about streaming and batch data ingestion, handling schemas, and ensuring secure data movement. You'll 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, efficient data setups.
Elevify advantages
Develop skills
- Design streaming and batch pipelines: create strong, quick-response data flows efficiently.
- Optimise big data storage: select formats, partitions, and compression for better speed.
- Tune Spark and Flink jobs: adjust resources for top performance without high costs.
- Implement data quality checks: automate validation, 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 the 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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