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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. File:Varnish, Kafka, Hive.pdf - Wikipedia

    en.wikipedia.org/wiki/File:Varnish,_Kafka,_Hive.pdf

    What links here; Upload file; Special pages; Printable version; Page information; Get shortened URL; Download QR code

  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).

  5. Event-driven programming - Wikipedia

    en.wikipedia.org/wiki/Event-driven_programming

    For example, a single left-button mouse-click on a command button in a GUI program may trigger a routine that will open another window, save data to a database or exit the application. Many IDEs provide the programmer with GUI event templates, allowing the programmer to focus on writing the event code.

  6. 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.

  7. 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]

  8. Dataflow programming - Wikipedia

    en.wikipedia.org/wiki/Dataflow_programming

    In computer programming, dataflow programming is a programming paradigm that models a program as a directed graph of the data flowing between operations, thus implementing dataflow principles and architecture. [1] Dataflow programming languages share some features of functional languages, and were generally developed in order to bring some ...

  9. Syntax (programming languages) - Wikipedia

    en.wikipedia.org/wiki/Syntax_(programming_languages)

    The phrase grammar of most programming languages can be specified using a Type-2 grammar, i.e., they are context-free grammars, [8] though the overall syntax is context-sensitive (due to variable declarations and nested scopes), hence Type-1. However, there are exceptions, and for some languages the phrase grammar is Type-0 (Turing-complete).