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  2. Apache ORC - Wikipedia

    en.wikipedia.org/wiki/Apache_ORC

    Apache ORC (Optimized Row Columnar) is a free and open-source column-oriented data storage format. [3] It is similar to the other columnar-storage file formats available in the Hadoop ecosystem such as RCFile and Parquet. It is used by most of the data processing frameworks Apache Spark, Apache Hive, Apache Flink, and Apache Hadoop.

  3. RCFile - Wikipedia

    en.wikipedia.org/wiki/RCFile

    RCFile became the default data placement structure in Facebook's production Hadoop cluster. [2] By 2010 it was the world's largest Hadoop cluster, [3] where 40 terabytes compressed data sets are added every day. [4] In addition, all the data sets stored in HDFS before RCFile have also been transformed to use RCFile . [2]

  4. 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.

  5. List of Apache modules - Wikipedia

    en.wikipedia.org/wiki/List_of_Apache_modules

    Allows an Apache server to act as an OpenID "Relying Party" [91] mod_authn_alias: Version 2.1 and 2.2: Stable Extension: Apache Software Foundation: Apache License, Version 2.0: This module allows extended authentication providers to be created within the configuration file and assigned an alias name.

  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. Data orientation - Wikipedia

    en.wikipedia.org/wiki/Data_orientation

    Examples of column-oriented formats include Apache ORC, [3] Apache Parquet, [4] Apache Arrow, [5] formats used by BigQuery, Amazon Redshift and Snowflake. Predominant examples of row-oriented formats include CSV, formats used in most relational databases , the in-memory format of Apache Spark , and Apache Avro .

  8. Comparison of data-serialization formats - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_data...

    Apache Avro: Apache Software Foundation — No Apache Avro™ Specification: Yes Partial g — Built-in C, C#, C++, Java, PHP, Python, Ruby — Apache Parquet: Apache Software Foundation — No Apache Parquet: Yes No No — Java, Python, C++ No Apache Thrift: Facebook (creator) Apache (maintainer) — No Original whitepaper: Yes Partial c: No ...

  9. Apache Arrow - Wikipedia

    en.wikipedia.org/wiki/Apache_Arrow

    Apache Parquet and Apache ORC are popular examples of on-disk columnar data formats. Arrow is designed as a complement to these formats for processing data in-memory. [11] The hardware resource engineering trade-offs for in-memory processing vary from those associated with on-disk storage. [12]