What is cloud computing and big data

Cloud computing refers to computing using a large number of computing resources in the cloud and then returning the results to the user. Big data refers to a collection of data that cannot be captured, managed, and processed within a certain time range using conventional software tools. It is a massive, high-growth volume that requires new processing models to have stronger decision-making power, insight discovery, and process optimization capabilities. and diverse information assets.

The operating environment of this tutorial: Windows 7 system, Dell G3 computer.

Cloud Computing

Cloud Computing (Cloud Computing) is the increase, use and interaction model of Internet-based related services, usually involving the provision of dynamic and easily scalable and interactive services through the Internet. Often virtualized resources.

There are many opinions on what cloud computing is. The most widely accepted definition at this stage is the National Institute of Standards and Technology (NIST): Cloud computing is a pay-per-use model that provides available, convenient, on-demand network access and is configurable A shared pool of computing resources (resources including networks, servers, storage, application software, services) that can be quickly provisioned with minimal management effort or minimal interaction with service providers.

In layman’s terms, cloud computing is computing through a large number of computing resources in the cloud. For example, users send instructions through their own computers to service providers that provide cloud computing, and through a large number of servers provided by the service providers, " Nuclear Explosion" is calculated and the results are returned to the user.

The cloud is a metaphor for the network and the Internet. In the past, cloud was often used to represent telecommunications networks in diagrams, and later it was also used to represent the abstraction of the Internet and underlying infrastructure. Therefore, cloud computing can even allow you to experience 10 trillion calculations per second. With such powerful computing power, you can simulate nuclear explosions, predict climate change and market development trends. Users access the data center through computers, laptops, mobile phones, etc., and perform calculations according to their own needs.

Big Data

Big data (big data), an IT industry term, refers to data that cannot be captured, managed and processed within a certain time range using conventional software tools. Data collections are massive, high-growth and diverse information assets that require new processing models to have stronger decision-making power, insight discovery and process optimization capabilities.

In "The Age of Big Data" written by Victor Meier-Schoenberg and Kenneth Cukier, big data refers to the use of all data instead of shortcuts such as random analysis (sampling survey). Analysis and processing. The 5V characteristics of big data (proposed by IBM): Volume, Velocity, Variety, Value, and Veracity.

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