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What is Unstructured Data?

Unstructured data refers to data that does not follow a predefined format, such as text, images, videos, and social media posts. It requires advanced processing techniques like NLP and deep learning for analysis.

Data cleansing
Data cleansing, also known as data scrubbing, is the process of identifying and correcting errors, inconsistencies, and duplicate records within a dataset. It enhances data quality, improves accuracy in analytics, and ensures reliable outcomes in AI models and business intelligence systems.
Data Anonymization
Data anonymization is the process of modifying personal or sensitive data to remove or mask identifying information, ensuring privacy and compliance with regulations like GDPR and HIPAA. Techniques include data masking, tokenization, and synthetic data generation, making it crucial in AI training, healthcare analytics, and cybersecurity.
Unstructured Data
Unstructured data refers to data that does not follow a predefined format, such as text, images, videos, and social media posts. It requires advanced processing techniques like NLP and deep learning for analysis.

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