Albertyfocus: Bringing the World Together Through the Web.
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Some illustrate about of DATA WEB.
Structured Data: It is organized and formatted according to a specific schema or model. Structured data is typically stored in databases and can be easily processed, queried, and analyzed. Examples include data in relational databases, spreadsheets, or tabular formats.
Unstructured Data: It refers to data that does not have a predefined structure or format. Unstructured data is more complex and can include text documents, images, videos, social media posts, emails, and other forms of multimedia. Analyzing unstructured data often involves using techniques such as natural language processing (NLP), image recognition, or sentiment analysis.
Semi-structured Data: It lies somewhere between structured and unstructured data. It may have some organization or tags that provide a partial structure, but it does not conform to a strict schema. Examples include XML files, JSON data, and log files.