Data reduction techniques are methods used to simplify and condense large datasets into smaller, more manageable forms while preserving the essential information. These techniques are critical in addressing the challenges posed by big data and real-time visualization, as they help improve processing speed, enhance visual clarity, and make data analysis more efficient.
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