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This lesson covers big data for the OCR A-Level Computer Science (H446) specification. You need to understand the characteristics of big data, the difference between structured and unstructured data, and how techniques like data mining and machine learning are applied.
Big data refers to datasets that are so large, complex, or rapidly changing that traditional data processing methods are inadequate. Big data requires specialised tools, techniques, and infrastructure.
| Characteristic | Description | Example |
|---|---|---|
| Volume | The sheer amount of data generated and stored. | Facebook generates over 4 petabytes of data per day. |
| Velocity | The speed at which new data is generated and must be processed. | Stock market trades processed in milliseconds; real-time sensor data. |
| Variety | The different types and formats of data. | Text, images, videos, GPS coordinates, social media posts, sensor readings. |
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