What is throughput in data processing?
Throughput in data processing refers to the amount of data processed in a given amount of time. It's a key performance metric.
How is throughput measured?
Throughput is typically measured in units like transactions per second (TPS) or bytes per second (Bps), depending on the context.
What factors can affect throughput?
Factors affecting throughput include network bandwidth, system architecture, data complexity, and processing power.
Can you give examples of high throughput systems?
Sure! Examples include big data processing frameworks like Apache Hadoop and real-time data streaming platforms like Apache Kafka.
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