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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

    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]

  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...

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  6. YouTube Music - Wikipedia

    en.wikipedia.org/wiki/YouTube_Music

    YouTube Music is a music streaming service developed by the American video platform YouTube, a subsidiary of Alphabet's Google. The service is designed with an interface that allows users to simultaneously explore music audios and music videos from YouTube-based genres, playlists and recommendations.

  7. Google Developers - Wikipedia

    en.wikipedia.org/wiki/Google_Developers

    There are APIs offered for almost all of Google's popular consumer products, like Google Maps, YouTube, Google Apps, and others. The site also features a variety of developer products and tools built specifically for developers. Google App Engine is a hosting service for web apps.

  8. 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.

  9. 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.