Big Data Engineering Course
This course equips you with practical skills to engineer scalable big data systems. Design batch and streaming pipelines using Kafka, Spark, and Flink. Optimise storage, ensure data quality, tune performance, and control costs to deploy efficient, robust data platforms that handle massive volumes reliably.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
Gain hands-on expertise in building and managing end-to-end data pipelines for big data. Master streaming and batch data ingestion, schema handling, secure flows, processing with Spark, Flink, Kafka, storage optimisation, data quality enforcement, and cost-effective scaling for reliable platforms.
Elevify advantages
Develop skills
- Design robust streaming and batch pipelines for low-latency data flows.
- Optimise big data storage with smart formats, partitioning, and compression.
- Tune Spark and Flink jobs for peak performance and minimal costs.
- Implement automated data quality checks, lineage tracking, and recovery.
- Manage cloud data costs via tiered storage, indexing, and auto-scaling.
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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