Exercises · Q9
Q.Differentiate between structured and unstructured data giving one example.
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Start your 14-day free trial to unlock the full solution →Structured data fits a pre-defined schema — the same fixed fields for every record, storable as rows and columns and directly queryable. Unstructured data has no pre-defined organisation — videos, images, free text — and needs extra processing before analysis.
The difference, point by point
| Aspect | Structured data | Unstructured data |
|---|---|---|
| Format | Pre-defined schema: fixed fields, rows × columns | No pre-defined format or fixed fields |
| Storage | Relational database tables, spreadsheets | Files, documents, media stores, data lakes |
| Querying | Direct — e.g., SQL can filter/aggregate it immediately | Needs processing first (text mining, image/audio analysis) |
| Share of world's data | The smaller part | The large majority of data generated today |
| Example | A student marks table | A recorded video, photos, free-text emails/tweets |
One example of each
Structured — every record has the same fields, so it sits naturally in a table:
| Roll | Name | Marks |
|---|---|---|
| 1 | Asha | 92 |
| 2 | Bilal | 85 |
You can immediately ask table-style questions of it:
SELECT Name FROM Students WHERE Marks > 90;
| Name |
|---|
| Asha |
Why this works: the query engine knows in advance that a Marks column exists and holds numbers — that guarantee is the structure. …
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