Description: Unstructured data refers to information that does not have a predefined data model or is not organized in a predefined manner. Unlike structured data, which is organized into tables and columns, unstructured data can include text, images, videos, emails, social media posts, and more. This lack of structure makes its analysis and processing more complex, but also richer in information. Unstructured data accounts for approximately 80% of the data generated in the world, highlighting its importance in the digital age. The ability to extract value from this data is crucial for businesses seeking to gain meaningful insights and make informed decisions. Tools and technologies such as natural language processing (NLP), machine learning, and big data analytics are essential for turning this data into useful information. Proper management of unstructured data is critical for data governance, disaster recovery, and overall data management strategies, among other aspects of cloud data management.
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