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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.
Snowflake Inc. is an American cloud-based data storage company. Headquartered in Bozeman, Montana, it operates a platform that allows for data analysis and simultaneous access of data sets with minimal latency. [1] It operates on Amazon Web Services, Microsoft Azure, and Google Cloud Platform.
Big Data Partnership, a professional services company based in London; Big Data Scoring, a cloud-based service that lets consumer lenders improve loan quality and acceptance rates through the use of big data; BigPanda, a technology company headquartered in Mountain View, California
In this business model, data provides value as a support mechanism or a tool for creating other value propositions, that's why the revenue stream is typically quite a bit lower. [19] In turn, Data as a Service is one of 3 categories of big data business models based on their value propositions and customers: Answers as a Service;
BigQuery is a managed, serverless data warehouse product by Google, offering scalable analysis over large quantities of data. It is a Platform as a Service that supports querying using a dialect of SQL. It also has built-in machine learning capabilities. BigQuery was announced in May 2010 and made generally available in November 2011.
Cloud Datalab – Tool for data exploration, analysis, visualization and machine learning. This is a fully managed Jupyter Notebook service. [27] Cloud Dataprep – Data service based on Trifacta to visually explore, clean, and prepare data for analysis. [28] Cloud Pub/Sub – Scalable event ingestion service based on message queues. [29]
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