Apache Hadoop is an open-source software platform for storing and processing large datasets across distributed computing clusters. It is designed to handle large-scale data processing and analysis, allowing organizations to quickly and easily process massive amounts of data. Apache Hadoop is composed of multiple modules, including the Hadoop Distributed File System (HDFS), which provides a distributed file system for storing and managing large datasets; the MapReduce framework for parallel data processing; the YARN resource management platform for scheduling and managing jobs; and the Hadoop Common library, which provides utilities and libraries for other Hadoop-related projects. Apache Hadoop can be used to develop applications that process large amounts of data, such as data warehouses, online analytical processing (OLAP) systems, and machine learning algorithms. It can also be used to process streaming data from sources such as web logs and sensor data.
Apache Hadoop Comments
By palpritam123456 · Mar 2018
Apache Hadoop es un marco de código abierto, escalable y tolerante a fallos escrito en Java. Procesa eficientemente grandes volúmenes de datos en un clúster de hardware básico. Hadoop no es solo un sistema de almacenamiento, sino que es una plataforma para el almacenamiento de datos grandes, así como para el procesamiento. Para más información, Apache Hadoop