Distributed Computing in Big Data

Due to the volume of Big Data, processing is distributed across multiple nodes. Apache Hadoop uses the MapReduce programming model for batch processing, while Apache Spark provides in-memory computation for real-time analytics. Kubernetes and Docker are widely used for containerized deployments of data-processing workloads, ensuring scalability and fault tolerance.