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  2. Scala (programming language) - Wikipedia

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

    sbt, a widely used build tool for Scala projects; Spark Framework is designed to handle, and process big-data and it solely supports Scala; Neo4j is a java spring framework supported by Scala with domain-specific functionality, analytical capabilities, graph algorithms, and many more; Play!, an open-source Web application framework that ...

  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. 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.

  5. Apache Flink - Wikipedia

    en.wikipedia.org/wiki/Apache_Flink

    Apache Flink is an open-source, unified stream-processing and batch-processing framework developed by the Apache Software Foundation. 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]

  6. Apache Kafka - Wikipedia

    en.wikipedia.org/wiki/Apache_Kafka

    Apache Kafka is a distributed event store and stream-processing platform. It is an open-source system developed by the Apache Software Foundation written in Java and Scala.The project aims to provide a unified, high-throughput, low-latency platform for handling real-time data feeds.

  7. List of JVM languages - Wikipedia

    en.wikipedia.org/wiki/List_of_JVM_languages

    Pizza, a superset of Java with function pointers and algebraic data types; Pnuts; Processing, a visualization and animation language and framework based on Java with a Java-like syntax; Prompto, a language "designed to create business applications in the cloud". It is part of the namesake platform to design business applications directly in the ...

  8. Functional programming - Wikipedia

    en.wikipedia.org/wiki/Functional_programming

    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 used in production. Elixir 's Phoenix framework is also used by some relatively popular commercial projects, such as Font Awesome or Allegro (one of the biggest e-commerce platforms ...

  9. List of programming languages by type - Wikipedia

    en.wikipedia.org/wiki/List_of_programming...

    However, the LLVM-based Scala Native compiler supports the use of pointers, as well as C-style heap allocation (e.g. malloc, realloc, free) and stack allocation (stackalloc). [ 22 ] Swift normally uses reference counting, but also allows the user to manually manage the memory using malloc and free .