Real Time Data Processing

In "2013 Zhongguancun Big Data Day" Big Data Wisdom City Forum, cloud Human Science and Technology CEO Wu Zhuhua brings to the theme "about intelligent city thinking-real-time large data processing opportunities and challenges" speech. He believes that the opportunities for large data in various industries are as follows: Financial securities (high-frequency transactions, quantitative transactions), telecommunications services (support systems, unified tents, business intelligence), Energy (Power plant power grid Monitoring, information collection and analysis of electricity), Internet and electricity business (user behavior analysis, commodity model analysis, credit analysis), other industries such as Intelligent city, Internet of things. Wu Zhuhua ...

Large data real-time processing: real-time and interactive: the entanglement of technology and reality Wugansha large data for several years, it is true to discover that it is a practical discipline. I have been thinking: why there are hundreds of NoSQL database, with vigorous vitality of less than 10 species? Why do you have to make some "subtle" differences in consistency, read and write performance, and security controls on a few variants of big table?  Once thought that storm is the true destiny of the flow processing, how to solve the new flow processing framework is still endless? Real-time processing of large data: real time and interaction: the entanglement of technology and reality

"The National Bureau of Statistics shows that 70 large and medium-sized cities nationwide housing prices rose significantly curb," the National Bureau of Investigation shows that the Chinese people pay more attention to medical problems, "the National bureau said March CPI Year-on-year Rise of 31 months since the new high" ... Similar to the above information we can often see that the National Bureau of Statistics continuously to the community on the national economic development, people's livelihood and other levels of data. And what is behind these massive data processing an IT system supporting? How does the data related to the provincial and municipal levels be aggregated to the National Bureau of Statistics? Huge number ...

This paper mainly introduces the methods of data cleaning and feature mining in the practice of recommendation and personalized team in the United States. 　　In this paper, an example is given to illustrate the data cleaning and feature processing with examples. At present, the group buying system in the United States has been widely applied to machine learning and data mining technology, such as personalized recommendation, filter sorting, search sorting, user modeling and so on. 　　This paper mainly introduces the methods of data cleaning and feature mining in the practice of recommendation and personalized team in the United States. Overview of the machine learning framework as shown above is a classic machine learning problem box ...

At present, the group buying system in the United States has been widely applied to machine learning and data mining technology, such as personalized recommendation, filter sorting, search sorting, user modeling and so on. This paper mainly introduces the methods of data cleaning and feature mining in the practice of recommendation and personalized team in the United States. A review of the machine learning framework as shown above is a classic machine learning problem frame diagram. The work of data cleaning and feature mining is the first two steps of the box in the gray box, namely "Data cleaning => features, marking data generation => Model Learning => model Application". Gray box ...

Today, "Bigdata" (large data) the advent of the era has been no doubt, especially in the telecommunications, financial and other industries, almost to the "data is the business itself". One of the more important trends in this is the socialization of data (socialization of 挟裹). From the blog forum to the gaming community to the microblog, from the Internet to the mobile internet to the IoT, the real-time networking of human beings and various physical entities has been and will continue to produce incalculable data. For the enterprises that always focus on the market, they ...

In recent years, with the emergence of new forms of information, represented by social networking sites, location-based services, and the rapid development of cloud computing, mobile and IoT technologies, ubiquitous mobile, wireless sensors and other devices are generating data at all times, Hundreds of millions of users of Internet services are always generating data interaction, the big Data era has come. In the present, large data is hot, whether it is business or individuals are talking about or engaged in large data-related topics and business, we create large data is also surrounded by the big data age. Although the market prospect of big data makes people ...

Real-time data processing application of cloud computing based on storm in automatic clearing system Hu Yuzhou Van Ku Kendao Miuli The large data problem brought by the increasing passenger traffic in the rail transit industry, this paper puts forward the method of using Strom cloud computing technology to solve this problem, and proves that the cloud computing technology is fully applicable to the track automatic traffic ticket (AFC) clearing system (ACC), the application of Storm cloud computing in processing the real-time data service of the clearing system is discussed. The practice shows that the cloud computing based on storm is fully applicable to rail transit ...

Real-time query processing based on massive data in Wuhan University of Caofang based on the S4 system, this paper discusses the development of Java Library by introducing the query feature and the mechanism of processing data node to increase the usability of S4 system, which is called s4_s in the paper. S4_s replaces the original system's code extension mechanism, the user can create a new streaming application by writing a continuous declaration statement. At the end of the paper, we will prove the ability to improve the system processing data, and use the Network Service monitor and forecast Sina Weibo topic two applications to prove the use of this department ...

is the traditional data processing method applicable in the large data age? 　　The data processing requirements under large data environment are very rich and data types in large data environment, storage and analysis mining data is large, the demand for data display is high, and the high efficiency and usability are valued. Traditional data processing methods are not traditional data acquisition source single, and the storage, management and analysis of data volume is relatively small, most of the use of relational database and parallel data Warehouse can be processed. To rely on parallel computing to enhance the speed of data processing, transmission ...