Batch processing is used to process data in batches. It reads data from the input, processes it, and writes it to the output. Apache Hadoop is the most well-known and popular open source implementation of the distributed batch processing system using the MapReduce paradigm. The data is stored in a shared and distributed file system, called Hadoop Distributed File System (HDFS), and divided into splits, which are the logical data divisions for MapReduce processing.
To process these splits using the MapReduce paradigm, the map task reads the splits and passes all of its key/value pairs to a map function, and writes the results to intermediate files. After the map phase is completed, the reducer reads ...
