Answer / Ratanakar Dwivedi

Vectorized Query Execution is a technique used in Apache Spark to improve performance by processing multiple data elements simultaneously instead of one at a time (scalar computation). This is achieved by organizing the data into dense arrays (vectors) and operating on these vectors as a single unit. This can lead to significant speedups for operations that can be performed efficiently on vectors.

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