Data & Databases
Semi-structured data
Data with some organizational structure but not a rigid table format, such as JSON.
Example
JSON events contain named fields but do not follow a fixed table layout.
Why it matters
It offers flexibility while keeping enough organization for software to navigate the content.
You'll hear it
“Most records share these fields, but some include additional details.”
Can you control it?
Set by the team
The people building or running the AI choose this setup. An everyday user generally needs their help to change how this part works.
Common questions
- Is semi-structured the same as badly organized?
- No. A flexible organization can be deliberate and useful.
- Can records use different types for the same field?
- They can, but inconsistent types may create problems for applications.
- Does flexibility remove the need for rules?
- No. Shared meanings and validation can still be important.