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  2. IBM Watson Studio - Wikipedia

    en.wikipedia.org/wiki/IBM_Watson_Studio

    The platform consists of a workspace that includes multiple collaboration and open-source tools for use in data science. [ 1 ] In Watson Studio, a data scientist can create a project with a group of collaborators, all having access to various analytics models and using various languages ( R / Python / Scala ).

  3. Apache Spark - Wikipedia

    en.wikipedia.org/wiki/Apache_Spark

    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 ...

  4. Scala (programming language) - Wikipedia

    en.wikipedia.org/wiki/Scala_(programming_language)

    A special type of class known as a case class is provided, which includes automatic support for pattern matching and can be used to model the algebraic data types used in many functional programming languages. (From the perspective of Scala, a case class is simply a normal class for which the compiler automatically adds certain behaviors that ...

  5. Functional programming - Wikipedia

    en.wikipedia.org/wiki/Functional_programming

    Other functional programming languages that have seen use in industry include Scala, [120] F#, [18] [19] Wolfram Language, [7] Lisp, [121] Standard ML [122] [123] and Clojure. [124] Scala has been widely used in Data science, [125] while ClojureScript, [126] Elm [127] or PureScript [128] are some of the functional frontend programming languages ...

  6. Apache SystemDS - Wikipedia

    en.wikipedia.org/wiki/Apache_SystemDS

    It was observed that data scientists would write machine learning algorithms in languages such as R and Python for small data. When it came time to scale to big data, a systems programmer would be needed to scale the algorithm in a language such as Scala. This process typically involved days or weeks per iteration, and errors would occur ...

  7. Apache Flink - Wikipedia

    en.wikipedia.org/wiki/Apache_Flink

    The core of Apache Flink is a distributed streaming data-flow engine written in Java and Scala. [3] [4] Flink executes arbitrary dataflow programs in a data-parallel and pipelined (hence task parallel) manner. [5] Flink's pipelined runtime system enables the execution of bulk/batch and stream processing programs.

  8. Spark NLP - Wikipedia

    en.wikipedia.org/wiki/Spark_NLP

    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.

  9. SPARK (programming language) - Wikipedia

    en.wikipedia.org/wiki/SPARK_(programming_language)

    SPARK is a formally defined computer programming language based on the Ada programming language, intended for the development of high integrity software used in systems where predictable and highly reliable operation is essential. It facilitates the development of applications that demand safety, security, or business integrity.