Real Time Data Processing Technologies

Large data areas of processing, my own contact time is not long, formal projects are still in development, by the large data processing attraction, so there is the idea of writing articles. Large data is presented in the form of database technologies such as Hadoop and "NO SQL", Mongo and Cassandra. Real-time analysis of data is now likely to be easier. Now the transformation of the cluster will be more and more reliable, can be completed within 20 minutes. Because we support it with a table? But these are just some of the newer, untapped advantages and ...

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 ...

From the perspective of technology inheritance, China's access to large data processing technology is less than 1%, because China does not have any traditional core data processing technology, but from the qualitative change of revolutionary technology characteristics, China's access to the right to speak more than 51%, Because Chinese ancient culture thought can help China's scientific and technological personnel to master cloud computing core technology and key technology as soon as possible. In the next 3-5 years, China can really get a large number of data processing technology, some of the right to say, may need to consider the following factors: (1) from the original basic invention patented technology to control large numbers ...

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 ...

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 ...

"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 ...

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 ...

"Csdn Live Report" December 2014 12-14th, sponsored by the China Computer Society (CCF), CCF large data expert committee contractor, the Chinese Academy of Sciences and CSDN jointly co-organized to promote large data research, application and industrial development as the main theme of the 2014 China Data Technology Conference (big Data Marvell Conference 2014,BDTC 2014) and the second session of the CCF Grand Symposium was opened at Crowne Plaza Hotel, New Yunnan, Beijing. Star Ring Technology CTO Sun Yuanhao ...

The recession of the global economic environment has a direct impact on the investment of IT system construction. However, Gartner believes that "major retardants to IT substituting would lift". As the global economy recovers in a broader context, there will be an increase of 2013 years. It spending will reach 3.7 trillion per cent, up 4.2% from 2012. This is an increase in the forecast of 3.8%, which shows optimism. In addition, global software spending is expected to drop to $296 billion trillion, an increase of 6.4%;

The recession of the global economic environment has a direct impact on the investment of IT system construction. However, Gartner believes that "major retardants to IT substituting would lift". As the global economy recovers in a broader context, there will be an increase of 2013 years. It spending will reach 3.7 trillion per cent, up 4.2% from 2012. This is an increase in the forecast of 3.8%, which shows optimism. In addition, global software spending is expected to drop to $296 billion trillion, an increase of 6.4%;