Schema design
Schema design decides tables, columns, types and relationships. Splitting data into related tables removes duplication and the errors duplication causes.
Python for Kids · Class 10 · Module 5 of 9
Database Applications
Design the tables well and the application almost writes itself.
8 sessionsSessions 33–40
4 weeksTypical pace
Intermediate to AppliedLevel
Class 10Python & Coding
The big idea
Students design schemas across related tables, implement full CRUD, and enforce integrity so the database itself refuses to hold contradictory data.
Why it matters
Schema design decisions are the hardest to reverse later. Getting them right early is enormously valuable.
Unpacked
What you will actually learn
Three core ideas, each taught with worked examples and then practised until it feels obvious.
CRUD
CRUD operations are implemented against a real schema, including the awkward cases such as deleting a record other records point at.
Data integrity
Data integrity is enforced with keys and constraints, so invalid data is rejected at the source instead of being caught later by hopeful code.
Did you know?
The relational model was proposed by Edgar Codd in a 1970 paper. Over fifty years later it still runs most of the world’s critical systems.
Common mix-up
“The application will keep data valid.” Applications have bugs and change often. Constraints in the database are the durable guarantee.
Session by session
Your 8-session journey
Sessions 33–40 of the 72-session year, at two one-hour sessions per week.
- 1
Warm-up and big picture
Where this module fits, what you will build, and a hands-on starter that gets everyone curious about schema design.
- 2
Schema design
Guided teaching on schema design, worked through together with the teacher.
- 3
Schema design — practice lab
Independent practice, small challenges and one deliberate mistake to diagnose.
- 4
CRUD
Guided teaching on crud, building directly on the previous two sessions.
- 5
CRUD — practice lab
Applied tasks that combine schema design and crud in one piece of work.
- 6
Data integrity
Data integrity introduced and practised, completing the toolkit needed for the project.
- 7
Project build
Guided build session for the module project: Student service database.
- 8
Test, present and reflect
Finish, test against the checklist, present the work and explain the decisions behind it.
Project lab
Student service database
Every module ends with something the student built themselves and can demonstrate. This is the piece that goes into their portfolio and gets explained out loud at the end of session 40.
Try this at home
Design a schema with at least three related tables, then deliberately try to insert contradictory data and confirm the database stops you.
It is finished when
- It works from start to finish without breaking
- You can explain every part of it in your own words
- You tested it and improved at least one thing afterwards
- Someone else used or understood it without your help
By the end of this module
Students finishing Module 5 can:
- Explain and use schema design without prompting
- Explain and use crud without prompting
- Explain and use data integrity without prompting
- Build and finish student service database
- Test your own work and correct what you find
- Talk an adult through what you made and why
Word bank
The vocabulary introduced here, in plain language:
- schema
- The structure and rules of a database.
- primary key
- The column uniquely identifying each row.
- foreign key
- A column referencing a row in another table.
Module challenge
Think you have got this?
0 XPLevel 1 · Curious Beginner
6 quick questions drawn from this module — vocabulary, the project you build, and a myth-or-fact round. Every wrong answer explains itself, so a mistake still teaches you something.
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