108 in-depth articles — from Excel foundations to production machine learning. Filter by topic or difficulty to find exactly what you need.

Mastering subquery patterns is the inflection point between writing SQL that works and SQL that scales. This lesson teaches you when to use derived tables, scalar subqueries, and EXISTS filters — with real examples and the performance reasoning behind each choice.

Most SQL developers treat functions as black boxes — but the database treats them as contracts. Learn how PostgreSQL's IMMUTABLE, STABLE, and VOLATILE classifications shape query planning, index eligibility, and caching behavior, and how getting this wrong silently destroys performance or corrupts results.

Building a multitenant SQL database means every query carries a security contract. This lesson teaches you the three major isolation models, how to write tenant-safe queries with proper indexing, and how to build cross-tenant analytics that scale without leaking data.

Learn how to combine SQL joins with GROUP BY, COUNT, and SUM to answer real business questions across multiple related tables. This lesson covers fan-out pitfalls, LEFT JOIN behavior with HAVING, and how to structure complex queries with CTEs.

Flexible schemas in relational databases are a genuine engineering challenge — not a problem to avoid, but one to solve deliberately. This lesson teaches you the mechanics, trade-offs, and performance strategies for polymorphic associations and EAV patterns, including modern alternatives like JSONB and hybrid architectures.
Full-reload ETL jobs that process millions of unchanged rows are a solved problem — if you know the patterns. This lesson teaches production-grade incremental pipeline design using watermark tables and Change Data Capture, with complete SQL code for handling updates, deletes, and failure recovery.

Slow queries are almost always an indexing problem. This lesson teaches you exactly how B-tree indexes work, how to choose the right columns to index, and how to verify that your indexes are actually being used — with real SQL examples from a production-scale table.

Slow queries rarely fail — they just silently drain your system's resources until something breaks. This expert-level guide covers eight of the most damaging SQL anti-patterns, with real execution plan analysis, refactored examples, and a practical checklist for reviewing production queries before they become incidents.

SQL bugs don't throw exceptions — they return wrong answers silently. This lesson teaches you how to build a complete SQL unit testing strategy using fixture data, edge case coverage, data contracts, and CI/CD integration with dbt and GitHub Actions.

Learn how SQL window functions let you compute group totals, averages, and counts without collapsing your rows. This hands-on lesson teaches SUM, AVG, and COUNT with OVER PARTITION BY using realistic business scenarios — so you'll actually understand when and why to use them.

Most slow SQL queries aren't fixed by random index additions — they're fixed by reading what the query planner is actually telling you. This expert-level lesson teaches you to systematically diagnose any slow query using EXPLAIN ANALYZE, buffer metrics, and PostgreSQL's statistics system, so you stop guessing and start solving.

Averages are only the beginning. This in-depth lesson teaches you how to use SQL's statistical aggregation functions — PERCENTILE_CONT, STDDEV, VAR_SAMP, and more — to analyze data distributions, detect outliers, and build professional distribution reports. Covers PostgreSQL, BigQuery, and SQL Server with real-world examples.