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  2. Reactive Streams - Wikipedia

    en.wikipedia.org/wiki/Reactive_Streams

    Reactive Streams were proposed to become part of Java 9 by Doug Lea, leader of JSR 166 [8] as a new Flow class [9] that would include the interfaces currently provided by Reactive Streams. [5] [10] After a successful 1.0 release of Reactive Streams and growing adoption, the proposal was accepted and Reactive Streams was included in JDK9 via the ...

  3. Apache Flink - Wikipedia

    en.wikipedia.org/wiki/Apache_Flink

    The DataStream API includes more than 20 different types of transformations and is available in Java and Scala. [22] A simple example of a stateful stream processing program is an application that emits a word count from a continuous input stream and groups the data in 5-second windows:

  4. Stream processing - Wikipedia

    en.wikipedia.org/wiki/Stream_processing

    By way of illustration, the following code fragments demonstrate detection of patterns within event streams. The first is an example of processing a data stream using a continuous SQL query (a query that executes forever processing arriving data based on timestamps and window duration). This code fragment illustrates a JOIN of two data streams ...

  5. Stream (computing) - Wikipedia

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

    Stream editing processes a file or files, in-place, without having to load the file(s) into a user interface. 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.

  6. Standard streams - Wikipedia

    en.wikipedia.org/wiki/Standard_streams

    Standard input is a stream from which a program reads its input data. The program requests data transfers by use of the read operation. Not all programs require stream input. For example, the dir and ls programs (which display file names contained in a directory) may take command-line arguments, but perform their operations without any stream ...

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  8. Data stream mining - Wikipedia

    en.wikipedia.org/wiki/Data_stream_mining

    Data Stream Mining (also known as stream learning) is the process of extracting knowledge structures from continuous, rapid data records. A data stream is an ordered sequence of instances that in many applications of data stream mining can be read only once or a small number of times using limited computing and storage capabilities.

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