Google Cloud Dataflow
In this article, we will analyze the impact that Google Cloud Dataflow has had in various areas of society. Since its appearance, Google Cloud Dataflow has captured the attention of people of all ages and interests, becoming an omnipresent phenomenon in contemporary culture. Through an exhaustive analysis, we will explore the different perspectives and opinions that exist around Google Cloud Dataflow, as well as its influence in fields as diverse as politics, technology, fashion and entertainment. Additionally, we will examine the role Google Cloud Dataflow has played in the transformation of society and the way people interact with each other. This article will delve into the most relevant aspects of Google Cloud Dataflow, offering a complete and updated vision of this topic that is so relevant today.
Google Cloud Dataflow is a fully managed service for executing Apache Beam pipelines within the Google Cloud Platform ecosystem.
History
Google Cloud Dataflow was announced in June, 2014 and released to the general public as an open beta in April, 2015. 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. The donated code formed the original basis for Apache Beam.
References
- ^ "Sneak peek: Google Cloud Dataflow, a Cloud-native data processing service". Google Cloud Platform Blog. Retrieved 2018-09-08.
- ^ "Google Opens Cloud Dataflow To All Developers, Launches European Zone For BigQuery". TechCrunch. Retrieved 2018-09-08.
- ^ "Google wants to donate its Dataflow technology to Apache". Venture Beat. Retrieved 2019-02-21.
External links
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