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The core of Apache Hadoop consists of a storage part, known as Hadoop Distributed File System (HDFS), and a processing part which is a MapReduce programming model. Hadoop splits files into large blocks and distributes them across nodes in a cluster. It then transfers packaged code into nodes to process the data in parallel.
Canonical Ltd. offers Ubuntu for free, while they sell commercial technical support contracts. Cloudera's Apache Hadoop-based software. Francisco Burzi offers PHP-Nuke for free, but the latest version is offered commercially. IBM proprietary Linux software, where IBM delivers database software, middleware and other software.
Standard releases 9 months, LTS releases 5 years. Flavor LTS releases 3 or 5 years. Ubuntu Pro 10 years. 2024-10-10 2025-02-20 X Debian general, server, desktop, supercomputer, IBM mainframe: None Active Univention Corporate Server: Univention GmbH Univention GmbH 2004 5.0-8 [101]
The Slurm Workload Manager, formerly known as Simple Linux Utility for Resource Management (SLURM), or simply Slurm, is a free and open-source job scheduler for Linux and Unix-like kernels, used by many of the world's supercomputers and computer clusters.
Apache Hive is a data warehouse software project. It is built on top of Apache Hadoop for providing data query and analysis. [3] [4] Hive gives an SQL-like interface to query data stored in various databases and file systems that integrate with Hadoop.
Apache Impala is an open source massively parallel processing (MPP) SQL query engine for data stored in a computer cluster running Apache Hadoop. [1] Impala has been described as the open-source equivalent of Google F1 , which inspired its development in 2012.
Apache Pig [1] is a high-level platform for creating programs that run on Apache Hadoop. The language for this platform is called Pig Latin . [ 1 ] Pig can execute its Hadoop jobs in MapReduce , Apache Tez, or Apache Spark . [ 2 ]
Apache Mahout is a project of the Apache Software Foundation to produce free implementations of distributed or otherwise scalable machine learning algorithms focused primarily on linear algebra. In the past, many of the implementations use the Apache Hadoop platform, however today it is primarily focused on Apache Spark .