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tiffany knock off jewelry wholesale 1. Different points of cloud computing and big data levels
Big data refers to data sets that cannot be captured, managed and processed with conventional software tools within a certain period of time. Insight found that the massiveness, high growth rate and diversified information assets of power and process optimization capabilities.
Cloud computing is based on the increase, use and delivery model of related services on the Internet. It usually involves providing dynamic and extended resources through the Internet and often virtualized resources.
It the definition of the two we can understand that cloud computing focuses on resource allocation and is the virtualization of hardware resources; and big data is the efficient processing of massive data. Big data and cloud computing are not independent concepts, but the relationship is unusual. Both in terms of resources and resource re -processing, both need to be used together.
. Cloud computing and big data complement each other
First of all, cloud computing resources support the excavation of big data as a service support, and the development trend of big data provides each of the massive data query and analysis of real -time interaction provides their respective data query and analysis. The required value information;
Secondly, big data mining processing requires cloud computing as a platform, and the value and laws covered by big data can make cloud computing better combine with industry applications and play a greater role; big data Information privacy protection is an important prerequisite for the rapid development and application of cloud computing big data, and the combination of cloud computing and big data may become a new tool for human understanding.
celebrity look alike jewelry wholesale 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.
stamped jewelry charms wholesale People about big data and cloud computing usually have misunderstandings. And it will also mix them, and do a word of straightforward explanations: cloud computing is the virtualization of hardware resources; big data is the efficient processing of massive data.
Although the above sentence is not very appropriate, it can help you simply understand the difference between the two. In addition, if a more vivid explanation, cloud computing is equivalent to our computer and operating system, and then allocate a large number of hardware resources to be allocated and then used. It provides the standard of commercialization, and it is also worthy of VMware (in fact, from this that can help you understand the relationship between cloud computing and virtualization), the most vibrant of open source cloud platform is OpenStack;
Big data It is equivalent to massive data "databases", and the development of the big data field can also be seen that the current big data processing has been developing in the direction of the traditional database experience. The generation of Hadoop enables us The cluster of TB -grade data is pulled in front of us, but the concepts of traditional and expensive parallel computing have been pulled in front of us, but it is not suitable for data analysts (because Mapree's development is complicated), so PigLatin and Hive appear (Yahoo!, respectively, respectively. Speaking of the project initiated with Facebook, it is added to the front -edge Internet companies such as Google, Facebook, Twitter and other cutting -edge Internet companies in the big data field, which has made very positive and strong contributions) to bring us SQL operations. The operation method here is here to operate the operation method here Like SQL, but the processing efficiency is very slow. It is absolutely different from the traditional database processing efficiency, so people think about how to operate SQL in big data processing, and the processing speed can also be "SQL" , Google brought us Dremel/and other technologies, Cloudera (Hadoop's most commercialized company, Hadoop's father, Cutting, is responsible for technical leadership here).
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wholesale jewelry dropship What is cloud computing?
Generally speaking, it is based on the increase, use and delivery model of related services on the Internet. It usually involves the dynamic easy expansion and often virtualized resources through the Internet.云计算是一种按使用量付费的IT服务模式，这种模式提供可用的、便捷的、按需的网络访问，进入可配置的计算资源共享池（资源包括网络，服务器，存储，应用软件， Services), these resources can be provided quickly, as long as they need to invest very little management work, or do very little interaction with service providers.
What is big data?
The 5V features of big data: Volume (large number), Velocity (high -speed), variety (diverse), value (low value density), veracity.
The large data data volume is large and generated fast and diverse. At the same time, big data has the characteristics of low value density. At the same time, big data may also be mixed with some interference to affect the authenticity of the data.
:
It big data is about an application scenario in the context of the mobile Internet and the Internet of Things. The huge amount of data generated by various applications needs to be processed and analyzed. It is said that a technical solution is to use this technology to solve the needs of a series of IT infrastructure such as computing, storage, and database. The two are not things at the same level.
Relationship:
Big data is a very important application scenario for cloud computing, while cloud computing provides the best technical solution for the processing and data mining of big data.