Sure, here are some examples of structured and unstructured data:

Structured data:
- Customer data (e.g. name, address, email, phone number)
- Financial data (e.g. account balance, transactions)
- Inventory data (e.g. product name, SKU, quantity, price)
- Sales data (e.g. date, customer, product, amount)
- Employee data (e.g. name, address, job title, salary)

Unstructured data:
- Social media posts (e.g. tweets, Facebook posts)
- Text messages and chat logs
- Audio and video recordings
- Web logs and clickstream data
- Sensor data (e.g. temperature, humidity, pressure)
- Images, videos, and other multimedia files

Structured data is data that has a defined structure, such as a spreadsheet or a table in a database. Unstructured data is data that does not have a defined structure, such as text documents or multimedia files. NoSQL databases are often used to store and manage unstructured data, while SQL databases are typically used for structured data.
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