What Is Unstructured Data?
Unstructured data is data that does not have a fixed format or predefined structure. Unlike structured data, it cannot be easily stored in tables or databases with rows and columns. This type of data is often complex and comes in many different forms.
Examples of unstructured data include:
Text documents and emails
Social media posts and comments
Images, videos, and audio files
PDFs and web content
Unstructured data is widely generated in the digital world, especially through social media, websites, and multimedia platforms. To analyze unstructured data, advanced techniques such as natural language processing (NLP), machine learning, and artificial intelligence are used. Unstructured data plays a major role in understanding user opinions, behavior, and trends.
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Unstructured data makes up a major portion of today’s digital information — from text and social media content to images, audio, and videos. To extract meaningful insights from this data, strong skills in Data Science, Machine Learning, and Artificial Intelligence are essential.
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