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  2. 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]

  3. Dataflow - Wikipedia

    en.wikipedia.org/wiki/Dataflow

    Dataflow computing is a software paradigm based on the idea of representing computations as a directed graph, where nodes are computations and data flow along the edges. [1] Dataflow can also be called stream processing or reactive programming. [2] There have been multiple data-flow/stream processing languages of various forms (see Stream ...

  4. Apache Beam - Wikipedia

    en.wikipedia.org/wiki/Apache_Beam

    Apache Beam is an open source unified programming model to define and execute data processing pipelines, including ETL, batch and stream (continuous) processing. [2] Beam Pipelines are defined using one of the provided SDKs and executed in one of the Beam’s supported runners (distributed processing back-ends) including Apache Flink, Apache Samza, Apache Spark, and Google Cloud Dataflow.

  5. Dataflow architecture - Wikipedia

    en.wikipedia.org/wiki/Dataflow_architecture

    Dataflow architecture is a dataflow-based computer architecture that directly contrasts the traditional von Neumann architecture or control flow architecture. Dataflow architectures have no program counter, in concept: the executability and execution of instructions is solely determined based on the availability of input arguments to the instructions, [1] so that the order of instruction ...

  6. Dataflow programming - Wikipedia

    en.wikipedia.org/wiki/Dataflow_programming

    Data flow has been proposed [by whom?] as an abstraction for specifying the global behavior of distributed system components: in the live distributed objects programming model, distributed data flows are used to store and communicate state, and as such, they play the role analogous to variables, fields, and parameters in Java-like programming ...

  7. Data-flow analysis - Wikipedia

    en.wikipedia.org/wiki/Data-flow_analysis

    Data-flow analysis is a technique for gathering information about the possible set of values calculated at various points in a computer program.A program's control-flow graph (CFG) is used to determine those parts of a program to which a particular value assigned to a variable might propagate.

  8. Category:Data-flow analysis - Wikipedia

    en.wikipedia.org/wiki/Category:Data-flow_analysis

    Pages in category "Data-flow analysis" The following 8 pages are in this category, out of 8 total. This list may not reflect recent changes. ...

  9. Category:Google Cloud - Wikipedia

    en.wikipedia.org/wiki/Category:Google_Cloud

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