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  2. 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.

  3. List of Apache Software Foundation projects - Wikipedia

    en.wikipedia.org/wiki/List_of_Apache_Software...

    Kibble: a suite of tools for collecting, aggregating and visualizing activity in software projects. Knox: a REST API Gateway for Hadoop Services; Kudu: a distributed columnar storage engine built for the Apache Hadoop ecosystem; Kvrocks: a distributed key-value NoSQL database, supporting the rich data structure; Kylin: distributed analytics engine

  4. Apache Hadoop - Wikipedia

    en.wikipedia.org/wiki/Apache_Hadoop

    The term Hadoop is often used for both base modules and sub-modules and also the ecosystem, [12] or collection of additional software packages that can be installed on top of or alongside Hadoop, such as Apache Pig, Apache Hive, Apache HBase, Apache Phoenix, Apache Spark, Apache ZooKeeper, Apache Impala, Apache Flume, Apache Sqoop, Apache Oozie ...

  5. Sqoop - Wikipedia

    en.wikipedia.org/wiki/Sqoop

    Sqoop got the name from "SQL-to-Hadoop". [4] Sqoop became a top-level Apache project in March 2012. [5] Informatica provides a Sqoop-based connector from version 10.1. Pentaho provides open-source Sqoop based connector steps, Sqoop Import [6] and Sqoop Export, [7] in their ETL suite Pentaho Data Integration since version 4.5 of the software. [8]

  6. Apache HBase - Wikipedia

    en.wikipedia.org/wiki/Apache_HBase

    Tables in HBase can serve as the input and output for MapReduce jobs run in Hadoop, and may be accessed through the Java API but also through REST, Avro or Thrift gateway APIs. HBase is a wide-column store and has been widely adopted because of its lineage with Hadoop and HDFS. HBase runs on top of HDFS and is well-suited for fast read and ...

  7. MapReduce - Wikipedia

    en.wikipedia.org/wiki/MapReduce

    MapReduce is a programming model and an associated implementation for processing and generating big data sets with a parallel and distributed algorithm on a cluster. [1] [2] [3]A MapReduce program is composed of a map procedure, which performs filtering and sorting (such as sorting students by first name into queues, one queue for each name), and a reduce method, which performs a summary ...

  8. Hortonworks - Wikipedia

    en.wikipedia.org/wiki/Hortonworks

    Its first office was in Sunnyvale, California. [4] The company employed contributors to the open source software project Apache Hadoop. [5] The Hortonworks Data Platform (HDP) product, first released in June 2012, [6] included Apache Hadoop and was used for storing, processing, and analyzing large volumes of data. The platform was designed to ...

  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 ...