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  2. Pipeline (computing) - Wikipedia

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

    In computing, a pipeline or data pipeline [1] is a set of data processing elements connected in series, where the output of one element is the input of the next one. The elements of a pipeline are often executed in parallel or in time-sliced fashion. Some amount of buffer storage is often inserted between elements. Computer-related pipelines ...

  3. Dataflow programming - Wikipedia

    en.wikipedia.org/wiki/Dataflow_programming

    A traditional program is usually represented as a series of text instructions, which is reasonable for describing a serial system which pipes data between small, single-purpose tools that receive, process, and return. Dataflow programs start with an input, perhaps the command line parameters, and illustrate how that data is used and modified ...

  4. Lambda architecture - Wikipedia

    en.wikipedia.org/wiki/Lambda_architecture

    Lambda architecture depends on a data model with an append-only, immutable data source that serves as a system of record. [2]: 32 It is intended for ingesting and processing timestamped events that are appended to existing events rather than overwriting them. State is determined from the natural time-based ordering of the data.

  5. Pipeline (software) - Wikipedia

    en.wikipedia.org/wiki/Pipeline_(software)

    In addition to the built-in programs, CMS Pipelines defines a framework to allow user-written REXX programs with input and output streams that can be used in the pipeline. Data on IBM mainframes typically resides in a record-oriented filesystem and connected I/O devices operate in record mode rather than stream mode.

  6. Google Cloud Dataflow - Wikipedia

    en.wikipedia.org/wiki/Google_Cloud_Dataflow

    Google Cloud Dataflow was announced in June, 2014 [3] and released to the general public as an open beta in April, 2015. [4] In January, 2016 Google donated the underlying SDK, the implementation of a local runner, and a set of IOs (data connectors) to access Google Cloud Platform data services to the Apache Software Foundation. [5]

  7. Extract, transform, load - Wikipedia

    en.wikipedia.org/wiki/Extract,_transform,_load

    An example would be an expense and cost recovery system such as used by accountants, consultants, and law firms. The data usually ends up in the time and billing system, although some businesses may also utilize the raw data for employee productivity reports to Human Resources (personnel dept.) or equipment usage reports to Facilities Management.

  8. Multiple instruction, single data - Wikipedia

    en.wikipedia.org/wiki/Multiple_instruction...

    In computing, multiple instruction, single data (MISD) is a type of parallel computing architecture where many functional units perform different operations on the same data. Pipeline architectures belong to this type, though a purist might say that the data is different after processing by each stage in the pipeline.

  9. Sink (computing) - Wikipedia

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

    In several computer programs employing streams, such as GStreamer, PulseAudio, or PipeWire, a sink is the starting point of a pipeline which consumes a stream of data, while a source is the end point which emits a stream a data (often after performing some processing function on the data). [2] An example is an audio pipeline in the PulseAudio ...