Apache ORC (original) (raw)
Apache ORC (Optimized Row Columnar) is a free and open-source column-oriented data storage format. 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. In February 2013, the Optimized Row Columnar (ORC) file format was announced by Hortonworks in collaboration with Facebook.A month later, the Apache Parquet format was announced, developed by Cloudera and Twitter.
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| dbo:abstract | Apache ORC (Optimized Row Columnar) is a free and open-source column-oriented data storage format. 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. In February 2013, the Optimized Row Columnar (ORC) file format was announced by Hortonworks in collaboration with Facebook.A month later, the Apache Parquet format was announced, developed by Cloudera and Twitter. (en) Apache ORC (Optimized Row Columnar) es un formato de almacenamiento de datos orientado a columnas, gratuito y de código abierto del ecosistema Apache Hadoop. Es similar a los otros formatos de archivo de almacenamiento en columnas disponibles en el ecosistema de Hadoop, como RCFile y Parquet. Es compatible con la mayoría de los marcos de procesamiento de datos en el entorno Hadoop. En febrero de 2013, el formato de archivo Optimized Row Columnar (ORC) fue anunciado por Hortonworks en colaboración con Facebook. Un mes después, se anunció el formato Apache Parquet, desarrollado por Cloudera y Twitter. (es) Apache ORC (Optimized Row Columnar) est un format de stockage de données orienté colonne libre et à code source ouvert de l'écosystème Apache Hadoop. Il est similaire aux autres formats de fichiers de stockage en colonnes disponibles dans l'écosystème Hadoop, tels que RCFile et Parquet. Il est compatible avec la plupart des infrastructures de traitement de données de l'environnement Hadoop . En février 2013, Hortonworks a annoncé le format de fichier Optimized Row Columnar (ORC) en collaboration avec Facebook. Un mois plus tard, le format Apache Parquet était annoncé, développé par Cloudera et Twitter. (fr) |
| dbo:genre | dbr:Database_management_system |
| dbo:latestReleaseDate | 2022-09-03 (xsd:date) |
| dbo:latestReleaseVersion | 1.8.0 |
| dbo:license | dbr:Apache_License_2.0 |
| dbo:operatingSystem | dbr:Cross-platform |
| dbo:releaseDate | 2013-02-20 (xsd:date) |
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| dbo:wikiPageExternalLink | https://orc.apache.org/ https://github.com/apache/orc%7CORC |
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| dbp:caption | Apache ORC (en) |
| dbp:genre | dbr:Database_management_system |
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| dbp:logo | Apache Orc logo.svg (en) |
| dbp:name | Apache ORC (en) |
| dbp:operatingSystem | dbr:Cross-platform |
| dbp:released | 2013-02-20 (xsd:date) |
| dbp:repo | https://github.com/apache/orc%7CORC |
| dbp:website | https://orc.apache.org/ |
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| rdfs:comment | Apache ORC (Optimized Row Columnar) is a free and open-source column-oriented data storage format. 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. In February 2013, the Optimized Row Columnar (ORC) file format was announced by Hortonworks in collaboration with Facebook.A month later, the Apache Parquet format was announced, developed by Cloudera and Twitter. (en) Apache ORC (Optimized Row Columnar) es un formato de almacenamiento de datos orientado a columnas, gratuito y de código abierto del ecosistema Apache Hadoop. Es similar a los otros formatos de archivo de almacenamiento en columnas disponibles en el ecosistema de Hadoop, como RCFile y Parquet. Es compatible con la mayoría de los marcos de procesamiento de datos en el entorno Hadoop. (es) Apache ORC (Optimized Row Columnar) est un format de stockage de données orienté colonne libre et à code source ouvert de l'écosystème Apache Hadoop. Il est similaire aux autres formats de fichiers de stockage en colonnes disponibles dans l'écosystème Hadoop, tels que RCFile et Parquet. Il est compatible avec la plupart des infrastructures de traitement de données de l'environnement Hadoop . (fr) |
| rdfs:label | Apache ORC (en) Apache ORC (es) Apache ORC (fr) |
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| foaf:depiction | wiki-commons:Special:FilePath/Apache_Orc_logo.svg |
| foaf:homepage | https://orc.apache.org/ |
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| foaf:name | Apache ORC (en) |
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