What is batch scoring architecture in classification systems?

Batch scoring architecture processes large datasets periodically to generate classification predictions.

Batch scoring is used when real-time inference is not required. Data is processed using distributed frameworks like Spark or Hadoop. Models are applied to large datasets in scheduled jobs, producing outputs stored in data warehouses. This approach optimizes throughput and cost efficiency.