In data processing, high throughput refers to the system’s capacity to handle massive volumes of tasks, transactions, or data within a fixed time frame. It powers big data analytics, financial trading, and genomic sequencing. Data engineers, cloud architects, and research labs benefit by reducing latency bottlenecks, enabling faster decision-making and scaling operations efficiently without compromising performance.
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