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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 programming - Wikipedia

    en.wikipedia.org/wiki/Dataflow_programming

    Dataflow programming languages include: Céu (programming language) ASCET; AviSynth scripting language, for video processing; BMDFM Binary Modular Dataflow Machine; CAL; Cuneiform, a functional workflow language. CMS Pipelines; Hume; Joule; Keysight VEE; KNIME is a free and open-source data analytics, reporting and integration platform; LabVIEW ...

  4. 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 ...

  5. How Spotify ran the largest Google Dataflow job ever for ...

    www.aol.com/news/spotify-ran-largest-google...

    In early December, Spotify launched its annual personalized Wrapped playlist with its users' most-streamed sounds of 2019. Because this was quite a large job, Spotify gave us a bit of a look under ...

  6. Google Cloud Platform - Wikipedia

    en.wikipedia.org/wiki/Google_Cloud_Platform

    Google Cloud Platform is a part [8] of Google Cloud, which includes the Google Cloud Platform public cloud infrastructure, as well as Google Workspace (G Suite), enterprise versions of Android and ChromeOS, and application programming interfaces (APIs) for machine learning and enterprise mapping services.

  7. Looker Studio - Wikipedia

    en.wikipedia.org/wiki/Looker_Studio

    Initially, Google Data Studio and Looker operated as separate products within Google. Google Data Studio's offering was a simple, low-cost, and easy way to connect data sources and create dashboards, [ 11 ] while Looker offered a more enterprise-focused solution with robust support for transformations and permissions.

  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. Data-flow diagram - Wikipedia

    en.wikipedia.org/wiki/Data-flow_diagram

    Data flow diagram with data storage, data flows, function and interface A data-flow diagram is a way of representing a flow of data through a process or a system (usually an information system ). The DFD also provides information about the outputs and inputs of each entity and the process itself.