Big data acquisition miner

1. Big data collection is the basis of big data. Through the collection and analysis of data on the platform, a complete data system is formed. Eel cloud tourism big data platform is a company specializing in tourism big data, with its own tourism big data platform.

2. The application of big data can be divided into two categories
the first category: data collection based on its own platform. Now the three Internet giants have a large number of user data, which can be completed through their own data mining
the second category: Based on crawler or crawler like technology, it helps enterprises and governments to collect public information on the Internet, that is, the network information collection system, the "joy" of fun and the "thinking" of thinking.
its main applications are: public opinion monitoring, brand monitoring, price monitoring, website news collection, instry information collection, competitive intelligence acquisition, business data integration, Market research, database marketing and other fields.

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5. The company cooperates with Xiaoming technology, and uses their Qianliyan cloud data collection service. All the data you want to collect can be found,

6.

Shenzhen Vision Information Technology Co., Ltd. is a high-tech enterprise with big data technology and service as the core. Over the years, it has been committed to enterprise level data integration, data collection, cleaning, analysis and mining, and has a number of international leading intellectual property rights and patents in the field of big data. Its "octopus" big data collection platform , "shuoo" data resource trading platform are in the leading position in the instry

typical customers:

Lenovo, dangdang.com, Samsung, China Construction Bank, daily economic news, happy shopping, National Bureau of statistics, guotai'an, Shaanxi Provincial Information Center, IDC consulting Beijing, iResearch, Chinese Academy of Sciences, International Statistical Information Center of National Bureau of statistics, University of Macao, Sichuan University, Changgeng University of Taiwan

7. Of course, you can use octopus collector to collect
but you'd better use private cloud to collect big data, so as to meet your big data collection needs<
30-100 cloud servers collect data with high concurrency
daily collection volume of one million level
7 * 24h exclusive cloud server, no need to queue up
a large number of IP effectively break through anti collection measures
real time monitoring of cloud server operation, etc

9. Big data collection system is a big concept
there are many collection tools, such as streaming data collection or database data transfer
there are script flume for streaming data collection and kettle for database transfer

10. First, the processing and analysis of big data is becoming the node of the new generation of information technology integration application. Mobile Internet, Internet of things, social network, digital home and e-commerce are the application forms of the new generation of information technology, which constantly proce big data. Cloud computing provides storage and computing platform for these massive and diverse big data. Through the management, processing, analysis and optimization of data from different sources, the results will be fed back to the above applications, which will create great economic and social value

Second, big data is a new engine for the sustained and rapid growth of the information instry. New technologies, new procts, new services and new formats for the big data market will continue to emerge. In the field of hardware and integrated equipment, big data will have an important impact on the chip and storage instry, and will also give birth to the integrated data storage and processing server, memory computing and other markets. In the field of software and services, big data will lead to the development of rapid data processing and analysis, data mining technology and software procts

thirdly, the use of big data will become a key factor to improve the core competitiveness. Decision making in all walks of life is changing from "business driven" to "data driven"

1. Big data is a large amount of high-speed and changeable information, which needs new processing methods to promote stronger decision-making ability, insight and optimal processing. Big data provides unprecedented space and potential for enterprises to gain more profound and comprehensive insight
2. With the help of big data and related technologies, we can carry out targeted marketing for customers with different behavioral characteristics, even from "recommending a proct to some suitable customers" to "recommending some suitable procts to a customer", so as to focus more on customers and carry out personalized precision marketing
3. Precision marketing in the era of big data refers to obtaining the preferences and behavior preferences of objects through big data, and concting different marketing for different objects. The core of big data precision marketing can be summarized as several key words: user, demand, identification and experience.