Big Data
2024 | AI Dictionary
What is Big Data: Extremely large datasets that traditional tools cannot process efficiently, characterized by volume, velocity, and variety of information.
What is Big Data?
Big Data refers to extremely large datasets that traditional data processing tools cannot handle efficiently due to their volume, velocity, and variety. Big Data analytics enables organizations to uncover trends, patterns, and insights by analyzing these massive datasets.
Types of Big Data
- Structured Data: Organized data with a fixed format, such as databases and spreadsheets.
- Unstructured Data: Data without a predefined structure, like images, videos, and social media posts.
- Semi-Structured Data: Contains both structured and unstructured elements, like JSON files and XML data.
Applications of Big Data
- Customer Analytics: Helps businesses understand customer behavior and personalize experiences.
- Healthcare: Assists in patient diagnostics, predicting disease outbreaks, and managing medical records.
- Fraud Detection: Identifies unusual patterns in financial transactions to detect and prevent fraud.
Example of Big Data
An example of Big Data is social media analysis, where vast amounts of user data are processed to identify trends, measure engagement, and provide targeted advertisements.
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