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To overcome the constraint of processing a large number of records in the shortest time possible, configuring your stream to use replicas offers an efficient solution. By configuring multiple stream replicas, you can parallelize the processing of your input files. This means that instead of waiting for each record to be processed sequentially, you can leverage the power of parallel computing to distribute the workload across multiple replicas, saving you precious time and boosting overall performance.
How It Works
Each stream replica acts as an independent processing unit, capable of running its transactions, or a series of transactions. How many replicas you need to configure depends on the scale of your data and the desired performance gains. When you initiate the processing of your records, these replicas work in harmony to handle the workload concurrently. As a result, you can process a significantly larger number of records within the same timeframe, enabling faster data analysis, quicker decision-making, and improved customer experiences.
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