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

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

   It's no secret that Spotify is a big Google Cloud Platform user. Because this was quite a large job, Spotify gave us a bit of a look under the covers of how it generated these lists for its ever ...

4. Google for Startups - Wikipedia

   en.wikipedia.org/wiki/Google_for_Startups

   From time to time, Google employees are deployed to conduct workshops (such as sales training, technical discussions, pioneering philosophical thought experiments) as well as conferences with Google-related products and platforms such as the Google Cloud Platform. In October 2018, Google for Entrepreneurs was renamed as Google for Startups. [7]

5. Google Cloud Platform - Wikipedia

   en.wikipedia.org/wiki/Google_Cloud_Platform

   Google Cloud Platform is a part [7] 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.

6. Google ATAP - Wikipedia

   en.wikipedia.org/wiki/Google_ATAP

   Google's Advanced Technology and Projects group (ATAP) is a skunkworks team and in-house technology incubator, created by former DARPA director Regina Dugan.ATAP is similar to X, but works on projects, granting project leaders time—previously only two years—in which to move a project from concept to proven product.

7. 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).

8. 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 ...

9. 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 ...