Definition of Big Data. Big data, also known as mega data, refers to the amount of data and information involved is so large in scale that it cannot be captured, managed, processed, and organized to become information that helps business operations and decision-making for a more positive purpose in a reasonable amount of time through the human brain or even mainstream software tools.

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Big data collection. Science and technology and the development of the Internet, promoting the advent of the era of big data, all walks of life every day in the production of a huge number of data fragments, data measurement unit has developed from Byte, KB, MB, GB, TB to PB, EB, ZB, YB and even BB, NB, DB to measure. The collection of data in the era of big data is no longer a technical problem, but in the face of such a large amount of data, how can we find its inner law. Characteristics of big data. Large amount of data, multiple types of data, strong real-time requirements, and large value of data. In all walks of life there is big data, but a lot of information and advice is complex, we need to search, process, analyze, summarize, and summarize its deep laws.

Mining and processing of big data. Inevitably, big data cannot be projected and estimated with the human brain, or processed with a single computer. It must be processed using a distributed computing architecture, relying on cloud computing's distributed processing, distributed databases, cloud storage, and virtualization technology, and therefore, the mining and processing of big data must be used in cloud technology.

Applications of Big Data. Big data can be applied to all walks of life, analyzing and organizing the huge data collected by people to achieve the effective use of information. Take an example of this profession, for example, to find the main effect genes related to milk production at the genetic level of cows, we can first scan the whole genome of cows, although we get all the phenotypic information and genetic information, but due to the huge amount of data, it is necessary to use the big data technology to analyze the comparison and mine the main effect genes. Significance and Prospects of Big Data. In a nutshell, big data is the mining of massive, dynamic, and sustainable data by applying new systems, tools, and models, so as to obtain something with insight and new value. Previously, in the face of huge data, we may be blinded, visible, and therefore can not understand the true nature of things, and thus get the wrong inference in the scientific work, and the advent of the era of big data, all the truth will be displayed in front of us.