From a technical point of view, the relationship between big data and cloud computing is as inseparable as the two sides of the same coin. Big data cannot be processed by a single computer, and a distributed architecture must be adopted. Its characteristic lies in the distributed data mining of massive data, but it must rely on the distributed processing, distributed database and cloud storage, and virtualization technology of cloud computing.
With the advent of the cloud era, big data has attracted more and more attention. The analyst team believes that big data is usually used to describe a large amount of unstructured and semi-structured data created by a company. Big data analysis is often associated with cloud computing because real-time analysis of large data sets requires a framework like MapReduce to distribute work to dozens, hundreds, or even thousands of computers. Big data requires special techniques to efficiently process large amounts of data that can tolerate elapsed time. Technologies applicable to big data, including massively parallel processing databases, data mining, distributed file systems, distributed data systems, cloud computing platforms, the Internet, and scalable storage systems.
Integration is the main function of cloud computing. No matter what data analysis model or computing method you adopt, it integrates massive server resources through the network to sort out effective data information and assign it to each target. customers, so as to solve the problems caused by insufficient storage resources for users. Big data is a new research field brought about by the explosive growth of data. The research on big data mainly focuses on how to store and effectively analyze it. Big data relies on cloud computing technology for storage and computing. .
Cloud computing is the premise of big data analysisAfter entering the information age, the amount of data continues to grow, and most enterprises can obtain additional benefits through big data. In the process of big data analysis, if the cost of extracting, processing and using data exceeds the value of the data itself, then the big data analysis will have no value. costs in the process.
Cloud computing can filter useless informationFor all data collected by big data systems, most of the data is useless, so it is necessary to filter out the available data that can provide economic benefits for the enterprise. Cloud computing can provide storage resources that can be expanded on demand, can be used to filter out useless data, and is the best choice for processing external network data.
Cloud Computing Helps Enterprise Virtualization ConstructionEnterprises introduce cloud computing systems, which can use information to guide decision-making. By applying service software to cloud platforms, data can also be transformed into existing systems of enterprises to help enterprises strengthen management models. Rising to the overall development level of my country's Internet, the combination of cloud computing and enterprises will make big data analysis easier and become an important means of promoting enterprise virtualization construction, which will make enterprises more competitive in the global market.
Cloud computing can filter useless informationFor all data collected by big data systems, most of the data is useless, so it is necessary to filter out the available data that can provide economic benefits for the enterprise. Cloud computing can provide storage resources that can be expanded on demand, can be used to filter out useless data, and is the best choice for processing external network data.
Cloud Computing Helps Enterprise Virtualization ConstructionEnterprises introduce cloud computing systems, which can use information to guide decision-making. By applying service software to cloud platforms, data can also be transformed into existing systems of enterprises to help enterprises strengthen management models. Rising to the overall development level of my country's Internet, the combination of cloud computing and enterprises will make big data analysis easier and become an important means of promoting enterprise virtualization construction, which will make enterprises more competitive in the global market.
Fresnel Lens (Fresnel lens), also known as threaded lens, is mostly a sheet made of polyolefin material, but also made of glass. One side of the lens surface is smooth, and the other side is engraved with concentric circles from small to large. , Its texture is designed according to the interference of light and the requirements of relative sensitivity and receiving angle.
Fresnel lens is equivalent to infrared and visible light convex lens in many cases, the effect is better, but the cost is much lower than ordinary convex lens. It is mostly used in occasions where accuracy is not very high, such as slide projectors, film magnifiers, infrared detectors, etc.
The Fresnel lens has two functions: one is focusing, that is, the pyro-infrared signal is refracted (reflected) on the PIR, and the second is to divide the detection area into several bright and dark areas, so that it can enter the detection area A moving object can produce a changing pyro-infrared signal on the PIR in the form of a temperature change.
Fresnel Optical Lens,Fresnel Lens For Diy Projector,Threaded Lens,Fresnel Lens Glass
Bohr Optics Co.,Ltd , https://www.bohr-optics.com