On the relationship between large data and cloud computing network

The arrival of the big Data age, which was first proposed by McKinsey, the world's leading consultancy, said: "Data has penetrated into every industry and business functional area today, becoming an important factor in production." The excavation and application of massive data indicates a new wave of productivity growth and consumer surplus. "In recent years, the constant warming of the word" big data "has also brought about large data bubbles, the prospect of large data with the current cloud computing, Internet, mobile, etc. is inseparable, below to understand the big data and these hot relationship.

Large Data Market pattern

In a strict sense, Bill Inmon, the father of the Data Warehouse, in the 1990s, put forward the concept of "big data". Big Data has recently been popular, mainly due to the rapid rise of the internet, mobile devices, IoT and cloud computing, and the global volume of data is greatly increased. It can be said that the mobile Internet, IoT and cloud computing and other hot spots rise to a large extent is the reason for large data.

We can get a picture of the relationship between big data and mobile Internet, Internet of things and the traditional web. Things networking, mobile Internet plus the traditional internet, every day in the production of massive data, and large data through the form of cloud computing, these data filtering processing analysis, advance out useful information, this is a large data analysis.

Large data and mobile Internet, IoT and traditional Internet

As the data storage giant, EMC's big Data concept is, first from "Big" start, "big" must refer to large data sets, generally around 10TB size. Many users put together a number of data sets to form a PB-level data volume. At the same time from the data source to talk about, large data refers to these data from a variety of data sources, in real-time, iterative way to achieve.

Large data sources

We see that there are big data trends in all kinds of industries, some may be retail businesses that analyze retail data, or some data on global weather models, and some geo-information data from the oil and gas industry, such as genetic analysis, large data on imaging in medicine, and even films, The entertainment industry also has large data for rendering.