Google Cloud Dataflow
In today's world, Google Cloud Dataflow has become a topic of great relevance and interest to a wide range of people. Since its emergence, Google Cloud Dataflow has generated numerous discussions and controversies, marking a turning point in the _var2 field. As the world advances and faces new challenges, Google Cloud Dataflow remains a central topic that continues to capture the attention of experts, authorities and citizens alike. In this article, we will explore in depth the different aspects related to Google Cloud Dataflow, its impact on today's society and the possible implications for the future.
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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