Latest articles, tutorials, and deep dives from ndlab tech blog.
Race conditions in databases are silent and devastating. This post explains ACID, all four isolation levels, and the concurrency bugs each level prevents — with examples.
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.
SQL is easy to start and hard to master. This post covers every JOIN type, GROUP BY traps, subqueries, and the mental model that makes complex queries feel obvious.
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.
Results