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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]
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.
Google Compute Engine Unit (GCEU), which is pronounced as GQ, is an abstraction of computing resources. According to Google, 2.75 GCEUs represent the minimum power of one logical core (a hardware hyper-thread) based on the Sandy Bridge platform. The GCEU was created by Anthony F. Voellm out of a need to compare the performance of virtual ...
Platform as a service (PaaS) or application platform as a service (aPaaS) or platform-based service is a cloud computing service model where users provision, instantiate, run and manage a modular bundle of a computing platform and applications, without the complexity of building and maintaining the infrastructure associated with developing and launching application(s), and to allow developers ...
Google Workspace (formerly G Suite, formerly Google Apps) is a collection of cloud computing, productivity and collaboration tools, software and products developed and marketed by Google. It consists of Gmail , Contacts , Calendar , Meet and Chat for communication; Drive for storage; and the Google Docs Editors suite for content creation.
Google Cloud Datalab is an interactive notebook (based on Jupyter) to explore, collaborate, analyze and visualize data. Looker Studio turns data into dashboards and reports that can be read, shared, and customized. Google Cloud Dataprep is a data service for visually exploring, cleaning, and preparing structured and unstructured data for analysis.
Cloud management is the management of cloud computing products and services. Public clouds are managed by public cloud service providers, which include the public cloud environment’s servers, storage, networking and data center operations. [1] Users may also opt to manage their public cloud services with a third-party cloud management tool.
Traditionally, most organisations have used data stored in a self-contained repository, for which software was specifically developed to access and present the data in a human-readable form. One result of this paradigm is the bundling of both the data and the software needed to interpret it into a single package, sold as a consumer product.
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related to: google cloud computing examples and use cases map and report form