Database Engineering Course
This comprehensive course equips you with advanced database engineering skills for building modern analytics platforms. Delve into event schema design, streaming data ingestion using AWS services like Kinesis and MSK, efficient storage optimisation with S3 lakehouse and partitioning, caching techniques, robust security measures including IAM and encryption, plus cost control and performance tuning to create scalable, reliable real-time data systems tailored for enterprise tech stacks.

flexible workload of 4 to 360h
valid certificate in your country
What will I learn?
Gain expertise in crafting event-driven database schemas, distinguishing OLTP from analytics workloads, and optimising JSON structures for massive scale. Select optimal AWS managed services, construct high-performance streaming pipelines, and deploy caching strategies for real-time dashboards. Master data security, cost management, performance tuning, and end-to-end operations for robust production analytical systems.
Elevify advantages
Develop skills
- Design scalable event schemas: efficiently model JSON payloads and handle multi-tenant data structures.
- Build robust streaming pipelines: implement Kinesis/MSK ingestion, CDC processes, and real-time data views.
- Optimise analytical storage solutions: leverage S3 lakehouse, smart partitioning, and columnar formats.
- Secure and fortify data infrastructure: apply IAM policies, encryption, disaster recovery, and high-availability designs.
- Monitor and enhance performance: deploy observability tools, autoscaling, and advanced query optimisation techniques.
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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