Database Engineering Course
This course equips you with essential database engineering skills for building modern analytics platforms. Master event-driven schema design, high-throughput streaming pipelines with AWS services like Kinesis and MSK, efficient data storage using S3 lakehouse and partitioning, caching strategies for real-time dashboards, robust security measures including IAM and encryption, plus cost control and performance tuning to create scalable, reliable production-grade data systems tailored for your tech needs.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
Gain expertise in designing event-driven schemas, separating OLTP from analytics workloads, and structuring scalable JSON payloads. Select optimal AWS managed services, construct high-throughput streaming pipelines, and deploy caching for real-time dashboards. Master data security, cost management, performance tuning, and end-to-end operations for reliable analytical platforms.
Elevify advantages
Develop skills
- Design scalable event schemas for JSON payloads and multi-tenant setups.
- Build robust streaming pipelines using Kinesis, MSK, CDC, and real-time processing.
- Optimise analytical storage with S3 lakehouse, smart partitioning, and columnar formats.
- Secure data stacks through IAM, encryption, disaster recovery, and high availability.
- Monitor performance with observability tools, autoscaling, and query tuning.
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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