# Data modeling

> Part of Prisma's Data Guide. The complete index is at https://www.prisma.io/dataguide/llms.txt.

A crash course in (relational, although not ignoring others) designing data models.

Canonical URL: https://www.prisma.io/dataguide/datamodeling
Content revision: 75693dca60995e658856c83944bdd8f8d23a8896f557e5054de9ddbad41ecb80
Source revision: 3209fc5696440a92402a9e3aaaab817ef4a9fb2c

## Overview

A crash course in (relational, although not ignoring others) designing data models. Concentrating first on situating databases and data modeling problems in an organization and systems design context before moving on to some of the less-prominent areas of database functionality. Published in partnership with [Dian Fay](https://di.nmfay.com/).

## In this section

- [Intro (don't panic)](https://www.prisma.io/dataguide/datamodeling/intro-dont-panic.md)
- [Know your problem space](https://www.prisma.io/dataguide/datamodeling/know-your-problem-space.md)
- [Tables, tuples, types](https://www.prisma.io/dataguide/datamodeling/tables-tuples-types.md)
- [Correctness and constraints](https://www.prisma.io/dataguide/datamodeling/correctness-constraints.md)
- [Making connections](https://www.prisma.io/dataguide/datamodeling/making-connections.md)
- [Functional units](https://www.prisma.io/dataguide/datamodeling/functional-units.md)
- [In vivo: information ecosystems](https://www.prisma.io/dataguide/datamodeling/in-vivo.md)