Supabase Mastery · Step 2 of 6
Database Design & SQL
Learn to design Postgres tables, relationships, and indexes on Supabase that actually hold up under real queries.
What you’ll walk away with
- Choose correct column types and table structures instead of defaulting to generic text fields for everything
- Model relationships between tables using foreign keys and write joins that pull related data correctly
- Add indexes where they matter and understand how they affect query performance
- Design a complete, related data model for a real application from scratch as a hands-on exercise
- Recognize common table-structure mistakes before they cause data integrity or performance problems on Supabase
Questions people ask before they start
Do I need prior SQL experience to take this course?
The course starts with fundamentals—tables, columns, and types—so you don't need advanced SQL knowledge, but basic familiarity with what a database is will help.
Is this specific to Supabase, or general Postgres?
It's Postgres-focused with Supabase as the working environment, so what you learn about tables, relationships, and indexes applies to Postgres generally, with Supabase-specific context where relevant.
Will I actually build something, or is it just lecture?
The final lesson is a hands-on exercise where you design a real, related data model yourself, applying the tables, relationships, and indexing concepts from earlier lessons.
Does this course cover query optimization in depth, like execution plans?
It covers indexes and how they affect query performance as part of the 'Indexes and Query Performance' lesson, but it's not a deep dive into query execution internals—it's focused on structuring your database well from the start.
Will this teach me API design or backend code, not just the database?
No, this course is scoped specifically to database design: tables, columns, types, relationships, foreign keys, joins, and indexes. It doesn't cover backend application code.
How does this fit with Securafy's focus on security?
This particular course is about sound database structure and performance rather than security specifically, but building well-designed, properly related tables is a foundation that supports writing safer, more predictable queries later.