Data 2

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Analysis of the beneficiary stocks of the 2 trillion market in the "Cloud" data center

As the core of cloud computing development, the construction of data center is very important, recently media reported that the Division of Communications Development is currently drafting the draft "Guidance on the construction of data Center", the layout of the cloud Computing Data Center, and guide the green development of the industry. According to people familiar with the matter, the Ministry of Industry in the development of cloud computing "Twelve-Five" planning, but also the data center of the construction planning as the focus, to encourage the data center built in the energy, land resources relatively rich areas. Due to rapid data growth and policy support, there are more than 400,000 data centers across the country, according to domestic professional institutions ...

What is the difference between bat's Internet Big Data application?

"Editor's note" This article is reproduced in the public number "Fu Zhihua", the author has been Tencent social networking business Group data center director and Tencent Data Association president.     Before Tencent, he worked in the market consulting, Analysys International, China Internet Association, and served as vice president of Dcci Internet Data Center. The internet industry in the accumulation of large data and applications to Baidu, Tencent and Alibaba is the most noteworthy. Baidu, Tencent and Alibaba in the application of large data although there is a common place, but due to their respective data sources and ...

Talking about Alibaba Big Data: Data + platform

The Data Platform Business Unit first used not the MaxCompute (original ODPS) currently in use, but Hadoop. The original Hadoop cluster was named Cloud Ladder 1. At that time, Alibaba was also developing its own computing platform, which was the original ODPS, and named it. Cloud Ladder 2.

Data mining processing in large data age

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 ...

"Large data hotspots and trends" released: from conceptualization to value

5th, 2013 Large Data technology conference held in Beijing.   CCF large Data committee secretary Cheng on behalf of the large Data commission to announce the 2013 large data white paper and 2014 "Big Data hot issues and trends," the official release.   Cheng said that the 2013 large data white paper summarized the overall environment of 2013 large data from the background of large data development, the status of technology system, industry chain and environment, talent training talent resources, and in the sixth chapter, the development trend of large data was elaborated. The Committee predicts that the network of large data, financial ...

How to occupy the traditional newspaper industry in the big data age?

The data again "big" no useful is equal to zero, to collect "slow data" "Live data" on the internet every moment in the production of data, people's lives everywhere in the various devices, such as computers, mobile phones, smart appliances, sensors and so on, can always leave traces of human behavior, real-time data generation, These increased geometric levels of data deposition on the Web, become large data. These large numbers of data again "big" no useful is equal to zero, to collect "slow data" "Live data ...

Large Data Technology stickers: Building a guided data mining model

The purpose of data mining is to find more quality users from the data. Next, we continue to explore the model of the guidance data mining method. What is a guided data mining method model and how data mining builds the model. In building a guided data mining model, the first step is to understand and define the target variables that the model attempts to estimate. A typical case, two-dollar response model, such as selecting a customer model for direct mailing and e-mail marketing campaigns. The build of the model selects historical customer data that responds to similar activities in the past. The purpose of guiding data mining is to find more similar ...

Study on security understanding and coping strategies of large data

1. The introduction of large data production makes data analysis and application more complex, difficult to manage. According to statistics, the amount of data produced in the world over the past 3 years is more than the previous 400 years, including documents, pictures, videos, web pages, e-mail, microblogging and other types, of which only 20% are structured data, 80% is unstructured data. The increase of data makes the data security and privacy protection problem become more and more prominent, all kinds of security incidents to the enterprise and user wake-up alarm. Throughout the data lifecycle, businesses need to comply with stricter security standards and confidentiality rules ...

Oracle announces Launch of Oracle large data Machine x4-2

BEIJING, November 27, 2013 Oracle Large Data Machine x4-2 is now available, it provides a comprehensive and secure integrated system for the enterprise, for the operation of large data-oriented Cloudera overall platform and Cloudera enterprise to achieve optimization, reduce the total cost of ownership. Oracle Large Data Machine x4-2, Oracle large data connectors and Oracle Exadata comprise a comprehensive and integrated platform for large data. Oracle recently announced the introduction of Oracle Large Data machine x4-2 ...

2014 Big Data Hot topic and trend interpretation

The world-wide information revolution has caused almost every industry to face big data problems. In order to effectively deal with the all-round challenges brought about by large data and make full use of this unprecedented opportunity, the industry, the scientific and technological circles at home and abroad and even governments are actively planning and formulating strategic plans. March 2012, the United States government announced a 200 million dollar "big data Research and development plan", the study of large data to rise to the national will. The European Union has also introduced similar initiatives. In this context, the Chinese Computer Society in October 2012 set up the CCF large data committee of experts, ...

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