Reference notes on programming fundamentals and database systems.
5 notes
How graph databases model data as nodes and relationships, when they outperform relational databases, and a Cypher query walkthrough.
How vector databases store embeddings and power similarity search for AI applications like semantic search and RAG.
NoSQL database families — document, key-value, column, and their trade-offs versus relational databases — with MongoDB examples.
Relational database fundamentals — tables, keys, relationships, normalization, and SQL — with schema examples and comparison tables.
Core OOP concepts — classes, objects, and the four pillars: encapsulation, abstraction, inheritance, and polymorphism — with Python examples.
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