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  2. Issue tracking system - Wikipedia

    en.wikipedia.org/wiki/Issue_tracking_system

    An issue tracking system (also ITS, trouble ticket system, support ticket, request management or incident ticket system) is a computer software package that manages and maintains lists of issues. [1] Issue tracking systems are generally used in collaborative settings, especially in large or distributed collaborations, but can also be employed ...

  3. 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]

  4. Steam (service) - Wikipedia

    en.wikipedia.org/wiki/Steam_(service)

    Steam is a digital distribution service and storefront developed by Valve.It was launched as a software client in September 2003 to provide game updates automatically for Valve's games and expanded to distributing third-party titles in late 2005.

  5. DataFlow Group - Wikipedia

    en.wikipedia.org/wiki/DataFlow_Group

    [3] Despite the claimed benefits of such a partnership, numerous complaints from applicants are easily accessible online, citing a lack of customer support, poor communication, lack of timely response to applications. [4] Through its worldwide locations, DataFlow Group serves a client database spanning 200 countries. [2]

  6. 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).

  7. 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 ...

  8. 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 ...

  9. 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.