Database Engineering Course
Master database engineering with AWS: design event-driven schemas, build high-throughput streaming pipelines, optimize analytical storage, secure data stacks, and monitor performance for production-grade platforms.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
This Database Engineering Course teaches you to design event-driven schemas, separate OLTP from analytics, and structure JSON payloads for scale. You will select appropriate AWS managed services, construct high-throughput streaming pipelines, and implement caching for near real-time dashboards. Learn to secure data, manage costs, optimise performance, and operate reliable, production-grade analytical platforms from end to end.
Elevify advantages
Develop skills
- Design scalable event schemas: model JSON payloads and multi-tenant entities quickly.
- Build streaming data pipelines: Kinesis/MSK ingestion, CDC, and real-time views.
- Optimise analytical storage: S3 lakehouse, partitioning, and columnar schemas.
- Secure and harden data stacks: IAM, encryption, DR, and high-availability patterns.
- Monitor and tune performance: observability, autoscaling, and query optimisation.
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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