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2. Big data - Wikipedia

   en.wikipedia.org/wiki/Big_data

   Big data "size" is a constantly moving target; as of 2012 ranging from a few dozen terabytes to many zettabytes of data. [26] Big data requires a set of techniques and technologies with new forms of integration to reveal insights from data-sets that are diverse, complex, and of a massive scale. [27]

3. Data-intensive computing - Wikipedia

   en.wikipedia.org/wiki/Data-intensive_computing

   Data-intensive computing is a class of parallel computing applications which use a data parallel approach to process large volumes of data typically terabytes or petabytes in size and typically referred to as big data. Computing applications that devote most of their execution time to computational requirements are deemed compute-intensive ...

4. Big Data Is the New Cloud Computing - AOL

   www.aol.com/.../big-data-is-the-new-cloud-computing

   Big data used to have a specific meaning. Meant to describe cast-offs such as log files, this information was "big" because of the amount of electronic refuse created when processing, say, an e ...

5. Cloud computing - Wikipedia

   en.wikipedia.org/wiki/Cloud_computing

   Cloud bursting is an application deployment model in which an application runs in a private cloud or data center and "bursts" to a public cloud when the demand for computing capacity increases. A primary advantage of cloud bursting and a hybrid cloud model is that an organization pays for extra compute resources only when they are needed. [ 68 ]

6. Data science - Wikipedia

   en.wikipedia.org/wiki/Data_science

   A cloud-based architecture for enabling big data analytics. Data flows from various sources, such as personal computers, laptops, and smart phones, through cloud services for processing and analysis, finally leading to various big data applications. Cloud computing can offer access to large amounts of computational power and storage. [30]

7. Cloud database - Wikipedia

   en.wikipedia.org/wiki/Cloud_database

   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.

8. Cloud-computing comparison - Wikipedia

   en.wikipedia.org/wiki/Cloud-computing_comparison

   The following is a comparison of cloud-computing software and providers. IaaS (Infrastructure as a service) Providers. General. Provider Launched Block storage ...

9. Cloud-based integration - Wikipedia

   en.wikipedia.org/wiki/Cloud-based_integration

   Prior to the emergence of cloud computing in the early 2000s, [3] integration could be categorized as either internal or business to business (B2B). Internal integration requirements were serviced through an on-premises middleware platform and typically utilized a service bus to manage exchange of data between systems.