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custom made jewelry boxes wholesale In terms of technical architecture, big data and cloud computing are based on distributed storage and distributed computing, so the connection between the two is relatively close.
In technical point of view, the relationship between big data and cloud computing is as inseparable as the front and back of a coin. Big data must not be processed with a single computer, and a distributed architecture must be adopted. It is characterized by distributed data mining of massive data. However, it must rely on cloud computing distributed processing, distributed database and cloud storage and virtualization technology.
From the perspective of application, big data is one of the application cases of cloud computing, and cloud computing is one of the implementation tools for big data.
The characteristics of cloud computing
1, virtualization technology.
It must emphasize that virtualization breaks through the boundaries of time and space. It is the most significant feature of cloud computing. Virtualization technology includes the application of virtual and resource virtual. As we all know, there is no connection between the environment of the physical platform and the application deployment in terms of space. It is precisely through the virtual platform to complete the data backup, migration and expansion of the corresponding terminal operation.
2, dynamic expansion.
Cloud computing has efficient computing capabilities. Increased cloud computing functions on the basis of the original server can quickly improve the computing speed, and finally achieve the level of dynamic expansion and virtualization to achieve the purpose of expanding applications.
3, deployment on demand.
The computers include many applications, program software, etc. Different applications of different applications are different, so users run different applications to deploy strong computing capabilities, and cloud computing platforms can be based on user needs according to the needs of users. Quickly equip computing power and resources.
4, high flexibility.
The IT resources, soft, and hardware on the market support virtualization, such as storage networks, operating systems and development of soft and hardware. The virtualization element is uniformly placed in the cloud system resource virtual pool for management. It can be seen that the compatibility of cloud computing is very strong. Not only can it be compatible with the hardware products of the low -allocation machine and different manufacturers, but also the peripherals can obtain higher performance calculations.
lovely fashion jewelry wholesale 1. Big data refers to the data set that cannot be captured, managed and processed with conventional software tools within a certain period of time. The massive, high growth rate and diversified information assets
2, the relationship between big data and cloud computing is as inseparable as the front and back of a coin. Big data must not be processed with a single computer, and a distributed computing architecture must be adopted. It is characterized by the excavation of massive data, but it must rely on cloud computing distributed processing, distributed database, cloud storage and virtualization technology. The relationship between
can be understood like this. Cloud computing technology is a container. Big data is water stored in this container. Big data depends on cloud computing technology to store and calculate.
The characteristics of cloud computing:
1, virtualization technology.
It must emphasize that virtualization breaks through the boundaries of time and space. It is the most significant feature of cloud computing. Virtualization technology includes the application of virtual and resource virtual. As we all know, there is no connection between the environment of the physical platform and the application deployment in terms of space. It is precisely through the virtual platform to complete the data backup, migration and expansion of the corresponding terminal operation.
2, dynamic expansion.
Cloud computing has efficient computing capabilities. Increased cloud computing functions on the basis of the original server can quickly improve the computing speed, and finally achieve the level of dynamic expansion and virtualization to achieve the purpose of expanding applications.
3, deployment on demand.
The computers include many applications, program software, etc. Different applications of different applications are different, so users run different applications to deploy strong computing capabilities, and cloud computing platforms can be based on user needs according to the needs of users. Quickly equip computing power and resources.
new york wholesale costume jewelry suppliers In essence, cloud computing emphasizes computing power, and big data emphasizes the objects of processing and calculation. The two do not exist in isolation, but are interrelated. The important part of the cloud computing is both infrastructure and storage equipment. The service provided by the big data to users needs to process the data, and it is mainly processed in the processing of data. Therefore, cloud computing and big data are inseparable.
It big data requires processing almost all types of massive data, such as documentation, pictures, video, audio, Weibo, email, etc., and the processing speed is very high, almost real -time. Because the calculation of these large amounts of data requires the most common users, it must be cheap, so the basic hardware facilities used by it requires low cost. Cloud computing provides these low -cost infrastructure. Users can obtain corresponding services according to demand. The distribution mechanism of cloud computing meets the storage and calculation requirements of massive and various types of data in big data systems, so that the realization of big data realization can be achieved. become possible.
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high quality fashion jewelry wholesale usa What can cloud computing and big data do? Many people are unclear. So what is the relationship between cloud computing and big data? Let me briefly analyze it today.
Cloud computing: Cloud computing provides global user computing power and storage services through the Internet, providing a hardware foundation for Internet information processing. Cloud computing, simply putting the hard disks and CPUs on your own computer or the company's server on the Internet, uniformly called it. Now the more famous cloud computing service provider is Amazon's AWS.
Big data: Big data uses the increasingly mature cloud computing technology to obtain valuable information from the vast Internet information ocean for information summarization, retrieval, and integration to provide a software foundation for Internet information processing. Big data, simply speaking, is to analyze all the data together, find a connection, and achieve prediction. All the data here corresponds to part of the data obtained from the previous sampling survey.
The relationship between cloud computing and big data:
Cloud computing is the basis. Without cloud computing, it is impossible to achieve big data storage and computing. Big data is application. Without big data, cloud computing lacks targets and value. Both need to participate in artificial intelligence. Artificial intelligence is a commercial application after the orderly Internet information system. This is the real exit of cloud computing and big data!
Where do the intelligence in business intelligence come from? One of the methods is to process a large amount of data through the big data tool, so as to obtain some association conclusions, to obtain the answer from these correlations. Therefore, big data is a tool for commercial intelligence. The big data to analyze a large amount of data, which requires the system's computing capabilities and processing capabilities very high. The traditional method is to need a supercomputer to process it, but this causes the computing power to be idle and busy when the computing power is empty and busy There is not enough problems, and the elastic expansion and horizontal expansion of cloud computing are suitable for calculating power calls on demand. Therefore, cloud computing provides a material basis for computing power and resources for big data.
angel jewelry wholesale Big data is to collect massive data and then rely on cloud computing to analyze the results.