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Database Engineering Course

Database Engineering Course
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.
Workload: between 4 and 360 hours

What our students say

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Very great course. Lots of rich information.
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