Database Performance Tuning — Prerequisites

What You Need Before Starting

1. Basic SQL and comfort with at least one relational database (required)

This course's Fundamentals tab opens directly with EXPLAIN ANALYZE output

and index creation — it doesn't re-teach SELECT/JOIN/GROUP BY first.

Every example is written against PostgreSQL or MySQL syntax directly

(pg_stat_statements, autovacuum, MySQL's slow query log), so basic

comfort with at least one of the two — this platform's own PostgreSQL or

MySQL technology — is assumed, not taught here.

2. Basic indexing concepts (recommended, not required)

This course goes deep on index strategy (composite column order, covering

indexes, partial indexes) starting from Fundamentals, but assumes you

already know what an index conceptually is (a data structure that avoids a

full table scan) — that specific groundwork is covered in this platform's

Database Design technology, if it's not already familiar.

3. Basic Python, for the application-layer examples (helpful, not required)

The N+1 query problem and connection-pooling sections use Python

(SQLAlchemy-style ORM calls, a psycopg2 connection pool) to illustrate an

application-layer problem that isn't really about Python — the concept

(too many round-trips, too many idle connections) transfers regardless of

language. Not being able to read Python specifically will make those

particular code blocks less immediately clear, but won't block understanding

the underlying concept.

4. What you do not need yet

•Database administration/operations background — autovacuum tuning,

replication, and connection pooling are covered as this course progresses

(Intermediate through Advanced), not assumed upfront.

•Prior performance-tuning experience on any specific engine — reading

EXPLAIN ANALYZE output, composite index design, and every other concept

here is taught from first principles, not assumed as prior tribal

knowledge.

•OLAP/data-warehouse experience — the OLTP-vs-OLAP distinction

(Advanced tab) is explained directly; you don't need to have worked with

a columnar data warehouse first to follow it.

Quick self-check

Given a query that's taking 10 seconds instead of 10 milliseconds, could you

already name the first diagnostic step you'd take (rather than immediately

guessing at a fix)? If "run EXPLAIN ANALYZE and look at the actual query

plan before changing anything" feels like a natural first instinct, you're

ready to start at Fundamentals. If SQL itself is still the harder part of

that sentence, start with this platform's SQL Mastery technology first.

Performance Tuning — Prerequisites