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Apache Hadoop (/ h ə ˈ d uː p /) is a collection of open-source software utilities for reliable, scalable, distributed computing.It provides a software framework for distributed storage and processing of big data using the MapReduce programming model.
Its file storage capability is compatible with the Apache Hadoop Distributed File System (HDFS) API but with several design characteristics that distinguish it from HDFS. Among the most notable differences are that MapR-FS is a fully read/write filesystem with metadata for files and directories distributed across the namespace, so there is no ...
Volume [7] 2005 HDFS: Java Apache License 2.0 Java and C client, HTTP, FUSE [8] transparent master failover No Reed-Solomon [9] File [10] 2005 IPFS: Go Apache 2.0 or MIT HTTP gateway, FUSE, Go client, Javascript client, command line tool: Yes with IPFS Cluster: Replication [11] Block [12] 2015 [13] JuiceFS: Go Apache License 2.0 POSIX, FUSE ...
Many companies use cloud storage services such as Google Cloud Storage and Amazon S3 or a distributed file system such as Apache Hadoop distributed file system (HDFS). [7] There is a gradual academic interest in the concept of data lakes.
Network File System (NFS) is a distributed file system protocol originally developed by Sun Microsystems (Sun) in 1984, [1] allowing a user on a client computer to access files over a computer network much like local storage is accessed.
File descriptors, file table and inode table in Unix [7] A file system relies on data structures about the files, as opposed to the contents of that file. The former are called metadata—data that describes data. Each file is associated with an inode, which is identified by an integer, often referred to as an i-number or inode number.
"Ceph-iSCSI" is a gateway which enables access to distributed, highly available block storage from Microsoft Windows and VMware vSphere servers or clients capable of speaking the iSCSI protocol. By using ceph-iscsi on one or more iSCSI gateway hosts, Ceph RBD images become available as Logical Units (LUs) associated with iSCSI targets, which ...
With Hive v0.7.0's integration with Hadoop security, these issues have largely been fixed. TaskTracker jobs are run by the user who launched it and the username can no longer be spoofed by setting the hadoop.job.ugi property. Permissions for newly created files in Hive are dictated by the HDFS. The Hadoop distributed file system authorization ...