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Google Cloud Datastore (Cloud Datastore) is a highly scalable, fully managed NoSQL database service offered by Google on the Google Cloud Platform. [1] Cloud Datastore is built upon Google's Bigtable and Megastore technology. [2] Google Cloud Datastore allows the user to create databases either in Native or Datastore Mode. Native Mode is ...
Bigtable development began in 2004. [1] It is now used by a number of Google applications, such as Google Analytics, [2] web indexing, [3] MapReduce, which is often used for generating and modifying data stored in Bigtable, [4] Google Maps, [5] Google Books search, "My Search History", Google Earth, Blogger.com, Google Code hosting, YouTube, [6] and Gmail. [7]
Sherpa is a cloud storage platform developed by Yahoo!.It is a hosted, distributed, and geographically replicated key-value data store. [1] The service is a NoSQL system that address the scalability, availability, and latency needs of the conglomerate's websites.
A cloud database is a database that typically runs on a cloud computing platform and access to the database is provided as-a-service. There are two common deployment models: users can run databases on the cloud independently, using a virtual machine image, or they can purchase access to a database service, maintained by a cloud database provider.
A file is a series of bytes that is managed by a file system. Thus, any database or file is a series of bytes that, once stored, is called a data store. MATLAB [2] and Cloud Storage systems like VMware, [3] Firefox OS [4] use datastore as a term for abstracting collections of data inside their respective applications.
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.
Cloud Shell supports OpenSSH for secure remote access, enabling users to connect to their Cloud Shell instance from various devices and locations.Automatic [1] [4] Project and Authentication: When a user launches Cloud Shell, it automatically sets the active GCP project and authenticates the user, streamlining the process of managing cloud ...
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]