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SQL

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Intermediate~4 hours

Learn how relational, NoSQL, vector, and cloud databases work — and how to pick, design, and query the right one for your application.

Articles

"Just use Postgres" is good advice until a measured access pattern needs a specialist. A checkout might use Redis for the cart, SQL for order and inventory, a v

Jul 16, 20266 min read
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A selective lookup that once scanned most of a large table can become an index walk plus a few heap fetches — often the difference between a snappy API and a ti

Jul 4, 20265 min read
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SQL and NoSQL are not enemies — they optimize for different access patterns. Relational engines favor schemas, JOINs, and ACID transactions. Document, key-value

Jul 4, 20264 min read
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"The index exists, why is this query still slow?" is one of the most common database escalations — and the answer is almost always sitting in EXPLAIN ANALYZE ou

Jul 21, 20268 min read
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PostgreSQL query optimization requires moving beyond intuition to inspect the actual execution plans generated by the Cost-Based Optimizer (CBO). Slow SQL queri

Aug 3, 20269 min read
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As database tables grow to tens of millions of rows, un-optimized PostgreSQL queries cause sudden CPU spikes, connection pool exhaustion, and elevated API tail

Aug 6, 20264 min read
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