Structured data is often stored in databases or data warehouses and can be easily queried and processed using traditional data analysis tools. Examples of structured data include customer information, transaction data, and inventory data.
Unstructured data, on the other hand, is often stored in non-tabular formats such as document, audio, and video files. It can be more challenging to process and analyze because it does not follow a predefined structure or format. However, advancements in new-age technologies like machine learning and natural language processing have made it possible to extract insights from unstructured data, such as sentiment analysis of customer feedback or image recognition in medical imaging.