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  2. List of Apache Software Foundation projects - Wikipedia

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

    Bigtop: a project for the development of packaging and tests of the Apache Hadoop ecosystem. Bloodhound: defect tracker based on Trac [5] BookKeeper: a reliable replicated log service; Brooklyn: a framework for modelling, monitoring, and managing applications through autonomic blueprints

  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. 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 ...

  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. Data ecosystem - Wikipedia

    en.wikipedia.org/wiki/Data_ecosystem

    A data ecosystem is the complex environment of co-dependent networks and actors that contribute to data collection, transfer and use. [1] It can span multiple sectors – such as healthcare or finance, to inform one another's practices. [2] A data ecosystem often consists of numerous data assemblages. [3]

  7. 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.

  8. Apache Kudu - Wikipedia

    en.wikipedia.org/wiki/Apache_Kudu

    It is compatible with most of the data processing frameworks in the Hadoop environment. It provides completeness to Hadoop's storage layer to enable fast analytics on fast data. [3] The open source project to build Apache Kudu began as internal project at Cloudera. [4] The first version Apache Kudu 1.0 was released 19 September 2016. [5]

  9. Apache Parquet - Wikipedia

    en.wikipedia.org/wiki/Apache_Parquet

    Apache Parquet is a free and open-source column-oriented data storage format in the Apache Hadoop ecosystem. It is similar to RCFile and ORC, the other columnar-storage file formats in Hadoop, and is compatible with most of the data processing frameworks around Hadoop.