Apache Hadoop

Apache Hadoop is an open source distributed computing framework developed by the Apache Software Foundation for reliable, scalable, large-scale data processing. The Hadoop software library enables distributed processing of large data sets across computer clusters using simple programming models, designed to scale from single servers to thousands of machines, each offering local computation and storage. Rather than relying on hardware for high availability, Hadoop is designed to detect and handle failures at the application layer, delivering highly available services on top of clusters where each machine may be prone to failure. Core components include HDFS (Hadoop Distributed File System) for data storage, YARN (Yet Another Resource Negotiator) for cluster resource management and task scheduling, and MapReduce for parallel data processing. The latest stable release is version 3.5.0, containing 485 bug fixes, improvements, and enhancements since version 3.4. Hadoop is a foundational technology in big data processing, used by tens of thousands of enterprises worldwide for log analysis, data warehousing, and machine learning data preparation. Since its open sourcing in 2006, the Hadoop project has spawned an entire ecosystem including Hive, Pig, HBase, and Spark, fundamentally transforming how enterprises process and analyze massive datasets at unprecedented scale and cost efficiency.