Master Databases Engineering
Modern database engineering across relational, document, key-value, wide-column, graph, search, and vector systems—purpose, data models, use cases, and production selection.
4.9
(380 students)
10 Weeks · 70 hours
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What is this course about?
Master Databases Engineering
Relational · Document · Key-Value · Wide Column · Graph · Search · Vector
Build fluency across the modern database landscape—understand purpose, data models, and when to choose each system—then design polyglot architectures for real products.
What you'll walk away with:
- Clear mental models for seven major database families and their trade-offs
- Hands-on selection skills mapped to banking, CMS, caching, IoT, social, search, and RAG workloads
- Working knowledge of popular engines: PostgreSQL, MongoDB, Redis, Cassandra, Neo4j, Elasticsearch, Pinecone, and more
- Polyglot persistence judgment for microservices and AI-era applications
- A capstone architecture that matches workloads to the right database stack
Course Features
Post Graduate Diploma
10 Weeks of Content
Hands-on Projects
Community Support
Lifetime Access
Student Reviews
Student
Excellent course content with practical hands-on projects. The instructor's expertise really shows through the detailed explanations.
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