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  2. Sqoop - Wikipedia

    en.wikipedia.org/wiki/Sqoop

    Sqoop is a command-line interface application for transferring data between relational databases and Hadoop. [ 1 ] The Apache Sqoop project was retired in June 2021 and moved to the Apache Attic.

  3. Cascading (software) - Wikipedia

    en.wikipedia.org/wiki/Cascading_(software)

    Cascading is a software abstraction layer for Apache Hadoop and Apache Flink. Cascading is used to create and execute complex data processing workflows on a Hadoop cluster using any JVM-based language (Java, JRuby, Clojure, etc.), hiding the underlying complexity of MapReduce jobs. It is open source and available under the Apache License.

  4. 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.

  5. Apache Avro - Wikipedia

    en.wikipedia.org/wiki/Apache_Avro

    Avro is a row-oriented remote procedure call and data serialization framework developed within Apache's Hadoop project. It uses JSON for defining data types and protocols, and serializes data in a compact binary format.

  6. 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.

  7. 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 ...

  8. Dimensional modeling - Wikipedia

    en.wikipedia.org/wiki/Dimensional_modeling

    We still get the benefits of dimensional models on Hadoop and similar big data frameworks. However, some features of Hadoop require us to slightly adapt the standard approach to dimensional modelling. [citation needed] The Hadoop File System is immutable. We can only add but not update data. As a result we can only append records to dimension ...

  9. Apache CouchDB - Wikipedia

    en.wikipedia.org/wiki/Apache_CouchDB

    CouchDB: The Definitive Guide; Complete HTTP API Reference; Simple PHP5 library to communicate with CouchDB; Asynchronous CouchDB client for Java; Asynchronous CouchDB client for Scala; Lehnardt, Jan (2008). "Couch DB at 10,000 feet". Erlang eXchange 2008. Archived from the original on 9 November 2012; Lenhardt, Jan (2009).