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  2. Apache Hadoop - Wikipedia

    en.wikipedia.org/wiki/Apache_Hadoop

    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.

  3. Distributed file system for cloud - Wikipedia

    en.wikipedia.org/wiki/Distributed_file_system...

    Two of the most widely used distributed file systems (DFS) of this type are the Google File System (GFS) and the Hadoop Distributed File System (HDFS). The file systems of both are implemented by user level processes running on top of a standard operating system (Linux in the case of GFS). [8]

  4. MapR FS - Wikipedia

    en.wikipedia.org/wiki/MapR_FS

    Linux The MapR File System ( MapR FS ) is a clustered file system that supports both very large-scale and high-performance uses. [ 1 ] MapR FS supports a variety of interfaces including conventional read/write file access via NFS and a FUSE interface, as well as via the HDFS interface used by many systems such as Apache Hadoop and Apache Spark .

  5. Data-intensive computing - Wikipedia

    en.wikipedia.org/wiki/Data-intensive_computing

    Hadoop now encompasses multiple subprojects in addition to the base core, MapReduce, and HDFS distributed filesystem. These additional subprojects provide enhanced application processing capabilities to the base Hadoop implementation and currently include Avro, Pig , HBase , ZooKeeper , Hive , and Chukwa.

  6. Comparison of distributed file systems - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_distributed...

    Some researchers have made a functional and experimental analysis of several distributed file systems including HDFS, Ceph, Gluster, Lustre and old (1.6.x) version of MooseFS, although this document is from 2013 and a lot of information are outdated (e.g. MooseFS had no HA for Metadata Server at that time).

  7. OpenStack - Wikipedia

    en.wikipedia.org/wiki/OpenStack

    Sahara is a component to easily and rapidly provision Hadoop clusters. Users will specify several parameters like the Hadoop version number, the cluster topology type, node flavor details (defining disk space, CPU and RAM settings), and others. After a user provides all of the parameters, Sahara deploys the cluster in a few minutes.

  8. Apache Pig - Wikipedia

    en.wikipedia.org/wiki/Apache_Pig

    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]

  9. Apache ZooKeeper - Wikipedia

    en.wikipedia.org/wiki/Apache_ZooKeeper

    Apache ZooKeeper is an open-source server for highly reliable distributed coordination of cloud applications. [2] It is a project of the Apache Software Foundation.. ZooKeeper is essentially a service for distributed systems offering a hierarchical key-value store, which is used to provide a distributed configuration service, synchronization service, and naming registry for large distributed ...