Big Data Engineering Course
This course provides hands-on training in building and optimizing big data pipelines using tools like Spark, Flink, and Kafka, focusing on efficiency, quality, and cost control.

4 to 360 hours of flexible workload
certificate valid 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, schema handling, and secure data movement. Develop strong stream and batch processing using Spark, Flink, and Kafka, gain expertise in storage systems, ensure data quality, and implement performance tuning and cost management for scalable, efficient data platforms.
Elevify Advantages
Develop Skills
- Design streaming and batch pipelines: create robust, low-latency data flows quickly.
- Optimise big data storage: select formats, partitions, and compression for better speed.
- Tune Spark and Flink jobs: adjust resources for high performance at lower costs.
- Implement data quality checks: automate validation, lineage tracking, and recovery processes.
- Control cloud data costs: use tiered storage, indexing, and auto-scaling effectively.
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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