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作业代写:Application of big data technology

2018-09-06 来源: 51due教员组 类别: Essay范文

下面为大家整理一篇优秀的essay代写范文- Application of big data technology,供大家参考学习,这篇论文讨论了大数据技术的应用。大数据是指通过移动互联网终端等多种手段获取到的巨型数据集。随着信息科学的发展,云计算以及移动互联网在我们的生活和工作中发挥着越来越重要的作用,同时也在源源不断地生产数据。这些巨型的数据集蕴含了丰富的行业发展规律,能够对商业贸易等领域产生重要的指导意义和价值。目前,大数据技术正快速发展为新一代信息技术和服务业态。

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With the development of information science, the Internet of things, cloud computing and mobile Internet are playing an increasingly important role in our life and work, and are also producing data continuously. These huge data sets contain rich industrial development rules, which can generate important guiding significance and value for commercial trade, health care, smart power grid, economic regulation and control, agricultural production and other fields. This paper introduces the research status of big data technology in multiple fields, and simply summarizes the development trend of big data technology, hoping to help you understand big data technology and promote the application and development of big data technology.

Big data refers to huge data sets obtained through Internet of things, mobile Internet terminals and other means. These data sets are huge, ranging in size from a few terabytes to tens of trillions of terabytes, far beyond the ability of humans to crawl, manage, and process their content within acceptable time with regular software tools. In addition to the huge volume, the data types of big data are also very diverse. Besides the text format, it also includes pictures, video, audio and other multi-type data. The huge amount of data contains rich industry knowledge, which urges us to collect, store and correlate the data with huge amount, scattered sources and diverse formats to discover new knowledge and create new value. Big data technologies mainly include massive parallel processing databases, distributed file systems, distributed databases, cloud computing platforms and other extensible storage systems. At present, big data technology is rapidly developing into a new generation of information technology and service industry. Although big data has become a social web celebrity, few people really understand big data, and many people's impression of big data remains on the surface of nouns. For us high school students, it is related to our career planning that whether we can master the trend of science and technology in time. Therefore, we need to understand and understand the specific technologies and applications behind science and technology hot spots.

As McKinsey pointed out in its research report, data has permeated every industry and business function area and gradually become an important production factor. The use of vast amounts of data will herald a new wave of productivity growth and consumer surplus. Our country also through policy documents clearly put forward to develop big data technology industries, such as in the "twelfth five-year" national strategic emerging industry development planning ", the "Internet of things" twelfth five-year "development plan", such as national strategy, driven by China's massive amounts of data storage, information processing, data analysis and so on technology is developing rapidly, has been applied in many industries and fields.

The methods of using big data technology to mine commercial value mainly include: customizing personalized services for different groups of people; Forecast industry development rule; Improve enterprise management efficiency and production efficiency; Innovation of products and services by discovering hidden clues. The restaurant industry was hit hard after the U.S. financial crisis swept the globe in 2007. While many brands responded to the economic crisis by closing stores, starbucks used the data analysis method of location data to find the most suitable locations to open new stores and successfully expand its business. The most typical application of big data in business is still in the field of e-commerce. Nowadays, we are used to buying things online. Every day, tens of thousands of transactions are conducted on taobao, Tmall and jingdong. A large amount of transaction information, such as transaction time, commodity price and purchase quantity, will be recorded. To some extent, such information can reflect the buyer's interest, purchasing ability, seller's sales situation and development momentum, which are favored by the e-commerce platform. Data cube is the big data application program in taobao. Through this service, merchants can understand the industry macro situation on taobao platform, market condition of their own brand, consumer behavior, etc., and make production and inventory decisions accordingly. Ali credit loan is an enterprise transaction data mastered by alibaba, which is automatically analyzed by big data technology to determine whether to grant enterprise loans without human intervention. So far, alibaba has lent more than 30 billion yuan, with a bad debt rate of about 0.3%, far lower than commercial Banks, according to the report.

Medical health data is a kind of continuous and high growth complex data. By effectively storing, processing, querying and analyzing it, we can develop its potential value and profoundly affect human health. The research methods of big data in the field of medical health include information extraction, knowledge organization, real-time processing of big data, statistical analysis methods and deep integration of big data in medicine. Big data applications in the field of medical health include intelligent health management, medical services, disease control and emergency management, comprehensive health management, precision medicine and medical research and development, etc. For example, Microsoft released the Health Vault project in 2007, which is to intelligently manage Health information in personal and home medical devices based on big data technology. Antai insurance, for example, used 600, 000 test results from hundreds of patients over three years to help improve the prediction of metabolic syndrome, to obtain a personalized diagnosis that assesses risk factors and key treatment options.

Smart power grid refers to the integration of big data technology into traditional energy network to form a new power grid, which optimizes the production, supply and consumption of electricity through information such as users' electricity habits. For example, the data in the grid can be analyzed to know which areas have excessive load and outage frequency, or to predict which lines may fail. These analysis results are helpful for power grid upgrading, transformation and maintenance. For another example, based on the big data theory, researchers from the university of California, Los Angeles, made a map of California by combining population information, users' real-time electricity information and geographical and meteorological information. The figure shows the electricity consumption of each block in the current time. It can even compare the electricity consumption of this block with the average income of the residents and the type of buildings, so as to obtain more accurate electricity consumption habits of social groups. This map provides a direct and effective load forecasting basis for urban grid planning.

The big data wave swept across the world, and data-driven development became the theme of The Times. Information and data have become the focus of social and corporate attention, and the degree of analysis on them can play a key role in the development of enterprises and even the country. Therefore, whether from the national perspective or from the enterprise level, it is necessary to pay attention to the development of the big data industry, so that it can be in a favorable position in the future competition.

Nowadays, artificial intelligence develops rapidly and becomes a social hot spot. Just as the advent of electricity changed everything in the 19th century, artificial intelligence technology has been demonstrated and applied in all walks of life. How to effectively integrate artificial intelligence technology and big data technology is the key to determine whether the data can bring the maximum benefit.

The era of big data has arrived. This paper gives an overview of the limited application fields of big data technology, hoping to shed some light on them. In May 2013, at the 10th anniversary party of taobao, jack ma, chairman of alibaba, said when he stepped down as CEO of the group that "before people knew the PC era, the mobile Internet came; before they knew the mobile Internet, the big data era came. This indicates that big data has become a wrestling point among major enterprises, which is bound to trigger a new round of technological tide. As high school students, we not only need to learn textbook knowledge, but also need to pay close attention to science and technology hot spots, understand the impact and change of science and technology development on our life, so as to broaden our horizon and vision and better plan our life.

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