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Spark Core is the foundation of the overall project. It provides distributed task dispatching, scheduling, and basic I/O functionalities, exposed through an application programming interface (for Java, Python, Scala, .NET [16] and R) centered on the RDD abstraction (the Java API is available for other JVM languages, but is also usable for some other non-JVM languages that can connect to the ...
Project Current stable version Release date License; Apache Click: 2.3.0 2011-03-27 Apache 2.0 : Apache OFBiz: 18.12.17 [11] : 2024-11-11; 2 months ago Apache 2.0
[6] [7] The OSI's open-source criteria focuses on the availability of the source code and the advantages of an unrestricted and community driven development model. [8] Yet, many FOSS licenses, like the Apache License, and all Free Software licenses allow commercial use of FOSS components.
The Apache Software Foundation and the Free Software Foundation agree that the Apache License 2.0 is a free software license, compatible with the GNU General Public License [5] (GPL) version 3, [2] meaning that code under GPLv3 and Apache License 2.0 can be combined, as long as the resulting software is licensed under the GPLv3. [6]
The MVCContrib library contains 8 alternate view engines. Brail, NDjango, NHaml, NVelocity, SharpTiles, Spark, StringTemplate and XSLT. [32] The StringTemplate View Engine utilizes a .NET port of the Java templating engine, StringTemplate. [33] Spark is a view engine for the ASP.NET MVC (and the Castle Project MonoRail) frameworks. [34]
Spark NLP for Healthcare is a commercial extension of Spark NLP for clinical and biomedical text mining. [10] It provides healthcare-specific annotators, pipelines, models, and embeddings for clinical entity recognition, clinical entity linking, entity normalization, assertion status detection, de-identification, relation extraction, and spell checking and correction.
He is best known for his work on Apache Spark, a leading open-source Big Data project. [2] He was designer and lead developer of the GraphX, Project Tungsten, and Structured Streaming components and he co-designed DataFrames, all of which are part of the core Apache Spark distribution; he also served as the release manager for Spark's 2.0 ...
A fourth version of the SPARK language, SPARK 2014, based on Ada 2012, was released on April 30, 2014. SPARK 2014 is a complete re-design of the language and supporting verification tools. The SPARK language consists of a well-defined subset of the Ada language that uses contracts to describe the specification of components in a form that is ...