Unstructured data is information that is difficult to store in tables.Match the data with its categorysales table:audio file:

Unstructured data refers to information that does not fit neatly into traditional row-and-column databases, making it challenging to categorize or store in structured formats. In this case, we can categorize the provided data as follows:

1. Data Category: Structured Data

   • Description: This type of data is typically organized into tables with predefined relationships.
   • Example: Sales Table – This is structured data as it likely consists of rows and columns that include various fields (e.g., sales amount, date, product ID) that can be easily queried and analyzed.

2. Data Category: Unstructured Data

   • Description: This category encompasses information that lacks a predefined structure, making it challenging to analyze.
   • Example: Audio File – This is unstructured data as it does not conform to a rigid format like rows and columns, possessing characteristics such as audio length, quality, and content that do not fit into traditional database models.

In summary, the sales table is categorized as structured data, while the audio file falls under the unstructured data category. This understanding is crucial for data management and analytics strategies, as different data types require different approaches for extraction, processing, and analysis.