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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 .
RCFile has been adopted in Apache Hive (since v0.4), [5] which is an open source data store system running on top of Hadoop and is being widely used in various companies around the world, [6] including several Internet services, such as Facebook, Taobao, and Netflix. [7]
Airavata: a distributed system software framework to manage simple to composite applications with complex execution and workflow patterns on diverse computational resources; Airflow: Python-based platform to programmatically author, schedule and monitor workflows; Allura: Python-based open source implementation of a software forge
The open-source project to build Apache Parquet began as a joint effort between Twitter [3] and Cloudera. [4] Parquet was designed as an improvement on the Trevni columnar storage format created by Doug Cutting, the creator of Hadoop. The first version, Apache Parquet 1.0, was released in July 2013. Since April 27, 2015, Apache Parquet has been ...
a. CSV b: null a (or an empty element in the row) a 1 a true a: 0 a false a: 685230-685230 a: 6.8523015e+5 a: A to Z "We said, ""no""." true,,-42.1e7,"A to Z" 42,1 A to Z,1,2,3: edn
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]
The initial implementation of mod_python was a port to Apache HTTP server of a project called NSAPy. NSAPy was written by Aaron Watters for the Netscape Enterprise Server and was used as an example in a chapter of the book Internet Programming with Python written by Aaron Watters, Guido van Rossum, and James Ahlstrom. [1]
Astropy is a collection of software packages written in the Python programming language and designed for use in astronomy. [2] The software is a single, free, core package for astronomical utilities due to the increasingly widespread usage of Python by astronomers, and to foster interoperability between various extant Python astronomy packages. [3]