With the development of computer technology, the amount of data is increasing, and it is difficult for existing technologies to meet the development needs of the business. After the layers of code iteration and optimization, it is still difficult to meet the data growth requirements, and a new technology is urgently needed. To perform data calculations, the technologies of cloud computing and big data have been produced. Follow Xiaobian to understand in detail what is big data and cloud computing technology, what are the differences between them and the relationship between them, how to treat them correctly.
First, the concept and characteristics of big data and cloud computingBig Data: In Wikipedia, big data is a term used for data sets and refers to data sets that exceed the capabilities of commonly used software tools to collect, manage, and process data during runtime. Compared with traditional massive data, it not only grows geometrically in terms of data size, but also integrates collection, classification, processing, and analysis. It can fully tap the potential value of a data.
Cloud computing: According to the definition of the National Institute of Standards and Technology of the United States: Cloud computing is a pay-per-use model that provides available, convenient, on-demand network access and access to a configurable computing resource sharing pool ( Resources include networks, servers, storage, applications, services, etc. These resources can be provided quickly, with little administrative effort or with little interaction with service providers. In other words, cloud computing is both a business model and a computing model.
Big data features
1) Large capacity
At present, the data volume of all printed materials produced by humans is 200PB (1PB=210TB), and the data volume of all words spoken by all humans in history is about 5EB (1EB=210PB). With the development of big data, the data volume of some corporate institutions has approached the EB level.
2) Many kinds
In the past, we often used text-based structured data that was easy to store. Nowadays, more and more unstructured data, such as video, pictures, geographic information, etc., have been proposed. These types of data have provided data processing capabilities. More demanding.
3) Low value density
A large amount of data contains enormous potential value, but the value density of big data is low, and it is often necessary to analyze the massive data to obtain reliable information.
4) Fast
The large data set collects, analyzes, sorts, and calculates data in one, so the processing speed of the data is extremely demanding. This is also the most significant characteristic of Big Data that distinguishes it from traditional data mining. The processing speed of information often plays a role in a decision. Crucial role.
Cloud computing features
1) Large scale
In general, large enterprises have hundreds of thousands or even millions of servers for cloud computing, and cloud computing is very fast.
2) Virtualization
When end-users use cloud computing, they do not need entities to provide resources, but they can meet user needs through network services.
3) High reliability
Compared with the local computer, cloud computing achieves multiple copies of data fault tolerance, and compute node isomorphism can call to reduce the possibility of data error, greatly improving the reliability of cloud computing.
4) Generality
Cloud computing can support the operation of different applications at the same time.
5) High scalability
The need for growth in applications and users has allowed cloud computing to scale dynamically to scale.
6) On-demand service
Cloud computing services are purchased by users based on demand and improve the utilization of cloud computing.
7) Cheap
Cloud computing enables a large number of enterprises to reduce management costs through automated centralized management. Its high versatility and utilization also allow ordinary users to fully enjoy the convenience brought by cloud computing.
8) Potential danger
Cloud computing includes not only computing services but also storage services. If you choose to use cloud computing, you must accept potential dangers such as disclosure of important files of user information.
Cloud computing is a business model and a computing model. Therefore, cloud computing is based on big data. The purpose of big data is to discover potential values ​​through massive data, so that people can better understand and grasp information. Cloud computing is more inclined to provide services, and the two are interrelated.
1, the difference between big data and cloud computing
1) The purpose is different: Big data is to explore the value of information, and cloud computing is mainly to manage resources through the Internet and provide corresponding services.
2) Different objects: The objects of big data are data, and the objects of cloud computing are Internet resources and applications.
3) Different backgrounds: The emergence of big data lies in the geometric multiplication of large data generated by users and all walks of life. The emergence of cloud computing lies in the growth of user service requirements and the ability of enterprises to handle business.
4) Different values: The value of big data lies in the effective information of excavating data, while cloud computing can greatly save the use cost.
2. The connection between big data and cloud computing
Big data and cloud computing are similar in that they are all data storage and processing services, and they all need to use a lot of storage and computing resources. Therefore, massive data storage technologies, massive data management technologies, etc. are required. As the complexity of data processing increases, the corresponding performance and expansion bottlenecks will increase. In this case, the basic elements of cloud computing, such as elastic scaling and dynamic deployment, virtualization of resources, on-demand use, and green energy conservation, are exactly in line with the needs of new big data processing technologies. With the explosion of data volume and the increasing demand for data processing, the combination of big data and cloud computing can realize the advantages of the two to the greatest extent, meet the needs of users, and bring higher commercial value.
In simple terms, the large capacity of big data naturally requires large capacity, fast speed, and secure storage. Storage that meets this requirement cannot do without cloud computing. Big data generated at high speed can only be processed in a waitable time through cloud computing. At the same time, cloud computing is a viable solution for improving the ability to analyze and understand big data. The value of big data can only discover its potential value from low-value-density data through data mining. The implementation of big data mining technology cannot be separated from cloud computing technology. In short, cloud computing is the core supporting technology of big data processing, and it is the mainstream method of big data mining. Without the Internet, there is no virtualization technology as the core cloud computing technology. Without cloud computing, there is no big data processing support technology.
In fact, cloud computing is the electricity of the industrial age, big data is the Ford production line, and cloud storage is the steel industry. In other words, without steel, there would be no electricity, and there would be no large-scale industrial production. Without cloud computing, big data will not come out. If cloud computing does not solve the problem of cloud storage, it will not come out.
If it is simple, we can use a map to identify:
Based on the combination of big data and cloud computing, Boyun Technology has taken the lead in putting forward the concept of “video cloud computing†in China. Since 2007, it has relied on the rich resources of its parent company, Yongxin Bo, and leveraged its parent company’s abundant financial strength to enrich Customer resources sharing, solid and powerful development strength and reliable technical support capabilities, focused on professional video cloud computing Solutions and services leading vendors, involved in the application of cloud computing in the field of video, and is committed to the use of video streaming cloud solution Complex industrial processes enhance user experience and improve people's lives.
Its new products, 1+ cloud games, cloud VR, 1+ square dance, OTT video, games, and other applications, all use its advanced concept of full-flow cloud computing technology to run on cloud servers and will run. After the display output and audio output are coded, they are transmitted to the terminal in real time through the network. The terminal displays the output after decoding in real time. In the future, it will also expand applications such as education, retirement, and chess, etc., to enrich the content of the platform.
1+ cloud game
1+ Square Dance
As the global cloud game leading brand and China’s video cloud computing pilot company, Bowang’s vision is to become a world-class cloud service platform technology provider and platform operator. In the future, there will be cloud cloud cloud services at the screen. People create more exciting "cloud era" life.
Fourth, the development prospects of big data and cloud computing1. Improve network quality. With the continuous development of the Internet and mobile Internet, the network will be more busy, and the signaling data used to monitor the state of the network will also grow rapidly. Through the intelligent analysis of massive operation and maintenance information and signaling data, it can improve the real-time network maintenance, predict network traffic peaks, and alert abnormal traffic. This effectively prevents network congestion and system downtime, thereby improving network service quality and improving user experience.
2. Enhancing customer value By using tools and methods such as big data analysis and data mining, companies can integrate data from marketing departments, sales departments, and service departments, and fully understand their customers from various perspectives, and accurately image their customers. Characterize to find target customers, develop targeted marketing plans, product portfolios, or business decisions to enhance customer value.
3, improve the level of industry information. The development of smart cities and the industries related to the national economy and people's livelihood, such as education, medical care, transportation, and environmental protection, all have great information needs.
4, improve user experience. High-speed information processing and better services can better meet the needs of users, enabling users to bring better convenience to life at the lowest cost, and maximizing the quality of life learning for users.
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