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, and cost optimization.

flexible workload of 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. Develop strong stream and batch processing using Spark, Flink, and Kafka, gain expertise in storage systems, maintain data quality, and implement performance tweaks and cost management to operate scalable and efficient data platforms.
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, and recovery processes.
- Control cloud data costs: use tiered storage, indexing, and auto-scaling.
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 workloadWhat our students say
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Giulio CarloDigital Marketing Student
I like how the lessons get straight to the point and how I can switch chapters and skip content I don't need.

Mariana FerresPhotography Student
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Luciana AlvarengaNail Design Student
The platform is fast and easy to use. The variety of content and the extra videos really help with learning.

Giulio CarloPrompt Engineering Student
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