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  2. 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.

  3. Apache Samza - Wikipedia

    en.wikipedia.org/wiki/Apache_Samza

    Samza allows users to build stateful applications that process data in real-time from multiple sources including Apache Kafka.. Samza provides fault tolerance, isolation and stateful processing.

  4. Stream processing - Wikipedia

    en.wikipedia.org/wiki/Stream_processing

    Most programming languages for stream processors start with Java, C or C++ and add extensions which provide specific instructions to allow application developers to tag kernels and/or streams. This also applies to most shading languages, which can be considered stream programming languages to a certain degree.

  5. Reactive Streams - Wikipedia

    en.wikipedia.org/wiki/Reactive_Streams

    On April 30, 2015 version 1.0.0 of Reactive Streams for the JVM was released, [5] [6] [11] including Java API, [12] a textual specification, [13] a TCK and implementation examples. It comes with a multitude of compliant implementations verified by the TCK for 1.0.0, listed in alphabetical order: [11] Akka Streams [14] [15] MongoDB [16]

  6. Coding best practices - Wikipedia

    en.wikipedia.org/wiki/Coding_best_practices

    A software development methodology is a framework that is used to structure, plan, and control the life cycle of a software product. Common methodologies include waterfall, prototyping, iterative and incremental development, spiral development, agile software development, rapid application development, and extreme programming.

  7. Stream (computing) - Wikipedia

    en.wikipedia.org/wiki/Stream_(computing)

    One example of such use is to do a search and replace on all the files in a directory, from the command line. On Unix and related systems based on the C language, a stream is a source or sink of data, usually individual bytes or characters. Streams are an abstraction used when reading or writing files, or communicating over network sockets.

  8. Streaming algorithm - Wikipedia

    en.wikipedia.org/wiki/Streaming_algorithm

    Though streaming algorithms had already been studied by Munro and Paterson [1] as early as 1978, as well as Philippe Flajolet and G. Nigel Martin in 1982/83, [2] the field of streaming algorithms was first formalized and popularized in a 1996 paper by Noga Alon, Yossi Matias, and Mario Szegedy. [3]

  9. Stream (abstract data type) - Wikipedia

    en.wikipedia.org/wiki/Stream_(abstract_data_type)

    In type theory and functional programming, a stream is a potentially infinite analog of a list, given by the coinductive definition: [1] [2] data Stream α = Nil | Cons α ( Stream α ) Generating and computing with streams requires lazy evaluation , either implicitly in a lazily evaluated language or by creating and forcing thunks in an eager ...