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This article mainly introduces what cloud computing and big data mean. What is introduced in this article is very detailed and has a certain reference value. Interested friends must finish reading it!

Cloud computing refers to computing through a large number of computing resources in the cloud, and then return the results to the user. Big data refers to the data set that can not be captured, managed and processed with conventional software tools within a certain period of time. It is a massive, high growth rate and diversified information asset that requires a new processing model to have stronger decision-making power, insight and process optimization ability.

Cloud Computing

Cloud computing (Cloud Computing) is a mode of increase, use, and interaction of related services based on the Internet, which usually involves the provision of dynamic, scalable and often virtualized resources through the Internet.

There are many theories about what cloud computing is. What is widely accepted at this stage is the definition of the National Institute of Standards and Technology (NIST): cloud computing is a pay-per-use model that provides available, convenient, on-demand network access to a pool of configurable computing resources (including networks, servers, storage, applications, services) that can be provided quickly with little management effort. Or have little interaction with the service provider.

In popular words, cloud computing is calculated through a large number of computing resources in the cloud, such as: users send instructions to service providers providing cloud computing through their own computers, calculate "nuclear explosion" through a large number of servers provided by service providers, and then return the results to users.

Cloud is a metaphor for the Internet and the Internet. In the past, clouds were often used to represent telecommunications networks, and later they were also used to represent the abstraction of the Internet and the underlying infrastructure. As a result, cloud computing can even allow you to experience 10 trillion computing power per second, with such powerful computing power to simulate nuclear explosions, predict climate change and market trends. Users access the data center through computers, notebooks, mobile phones and other ways to calculate according to their own needs.

Big data

Big data (big data), IT industry term, refers to the data set that can not be captured, managed and processed with conventional software tools within a certain period of time. It is a massive, high growth rate and diversified information asset that requires a new processing model to have stronger decision-making power, insight and process optimization ability.

In the era of big data, written by Victor Mayer-Schoenberg and Kenneth Kukeye, big data means that all data are analyzed and processed without shortcuts such as random analysis (sampling). Big data's 5V features (proposed by IBM): Volume (mass), Velocity (high speed), Variety (diversity), Value (low value density), Veracity (authenticity).

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