Relational Model & Normalization: How to Design Tables That Last
Bad schema design creates bugs invisible until production. Learn the relational model from first principles, then normalize to 3NF/BCNF with real examples and trade-offs.
Tech Blog · Insights & Experiments
Deep dives into code, design, and system architecture. From frontend to backend, from performance tricks to developer experience — practical notes for building better technology.
Bad schema design creates bugs invisible until production. Learn the relational model from first principles, then normalize to 3NF/BCNF with real examples and trade-offs.
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Trees are the most-tested structure in FAANG interviews. Master DFS, BFS, all traversals, LCA, path sums, and BST validation with a recursive framework that makes it click.
Indexes are the biggest lever for database performance — and the most misused. Learn how B-Tree and Hash indexes work, when to add them, and when they hurt more than help.
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Bad schema design creates bugs invisible until production. Learn the relational model from first principles, then normalize to 3NF/BCNF with real examples and trade-offs.
Most developers use databases without knowing why they exist. Learn what a DBMS really does, why flat files fail at scale, and the trade-offs that make databases essential.
Divide and conquer is behind merge sort, binary search, and fast power. Master the split-solve-merge pattern and the Master Theorem for complexity analysis in one focused post.
Greedy algorithms are easy to implement but hard to justify. Learn the exchange argument, the 5 greedy patterns, and when greedy fails so you know to reach for DP instead.
Master the 6 data structures that appear in 80% of technical interviews. Each post goes deep on one structure — how it works under the hood, every interview pattern it unlocks, and the exact templates that win offers.
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