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  2. Comparison of distributed file systems - Wikipedia

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

    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, HDFS, S3: Yes Yes ...

  3. 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.

  4. GPFS - Wikipedia

    en.wikipedia.org/wiki/GPFS

    Hadoop's HDFS filesystem, is designed to store similar or greater quantities of data on commodity hardware — that is, datacenters without RAID disks and a storage area network (SAN). HDFS also breaks files up into blocks, and stores them on different filesystem nodes. GPFS has full Posix filesystem semantics.

  5. List of file systems - Wikipedia

    en.wikipedia.org/wiki/List_of_file_systems

    Highly scalable, POSIX compliant, fault tolerant, read/write filesystem with a distributed, fault tolerant metadata service. It provides an HDFS and NFS interface to clients as well as a noSQL table interface and Apache Kafka compatible messaging system. MooseFS: Core Technology: GNU GPL v2 and proprietary [26]

  6. Hierarchical Data Format - Wikipedia

    en.wikipedia.org/wiki/Hierarchical_Data_Format

    Hierarchical Data Format (HDF) is a set of file formats (HDF4, HDF5) designed to store and organize large amounts of data.Originally developed at the U.S. National Center for Supercomputing Applications, it is supported by The HDF Group, a non-profit corporation whose mission is to ensure continued development of HDF5 technologies and the continued accessibility of data stored in HDF.

  7. Apache Pig - Wikipedia

    en.wikipedia.org/wiki/Apache_Pig

    input_lines = LOAD '/tmp/my-copy-of-all-pages-on-internet' AS (line: chararray);-- Extract words from each line and put them into a pig bag-- datatype, then flatten the bag to get one word on each row words = FOREACH input_lines GENERATE FLATTEN (TOKENIZE (line)) AS word; -- filter out any words that are just white spaces filtered_words = FILTER words BY word MATCHES '\\w+';-- create a group ...

  8. These Homeowners Didn't Know They Had an Ant Problem ... - AOL

    www.aol.com/lifestyle/homeowners-didnt-know-had...

    Obviously, sleeping in the loft the rest of the night was out of the question. After calming down a bit, Andrew sprayed insect-killer into the hole, hoping to eliminate as many ants as possible ...

  9. Apache Hive - Wikipedia

    en.wikipedia.org/wiki/Apache_Hive

    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.