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 efficient data ingestion, processing, storage, quality assurance, and cost management for scalable data platforms.
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 construct strong stream and batch processing systems using Spark, Flink, and Kafka, gain expertise in storage solutions, maintain data quality, and implement performance tweaks and cost management to operate scalable, efficient data platforms.
Elevify advantages
Develop skills
- Design streaming and batch pipelines: build 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 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 workload.What our students say
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