👉 Baths computing, also known as Batch Processing Computing or Dataflow Computing, is a paradigm where large volumes of data are processed in parallel by executing tasks concurrently across distributed computing resources. This approach is particularly effective for handling large datasets and complex computations, as it allows for the efficient distribution of data and tasks across multiple nodes in a cluster or cloud environment. Baths computing systems typically use frameworks like Apache Hadoop, Apache Spark, or Flink to manage data storage, task scheduling, and execution. By leveraging these frameworks, Baths computing enables organizations to perform batch processing tasks—such as data aggregation, transformation, and analysis—at scale, significantly reducing processing time and improving resource utilization. This method is widely used in industries like finance, healthcare, and e-commerce for tasks such as data warehousing, reporting, and machine learning model training.
