Sources Of Social Data

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Big data: Good friends with data quality? Transactional sources

Many people have a misconception that there is an intrinsic balance between the number of datasets and the quality of the data they maintain internally. This problem appears frequently and becomes Tom's Financial Services information http://www.aliyun.com/zixun/aggregation/16967.html ">sharing and Analysis Center (FS-ISAC) and other places ...

Use of renewable energy sources in data centers: pue= Total facilities Power/IT equipment power

Earlier this year, social networking giant Facebook ended the construction of the latest data center at the Oregon State faction Pineville. Facebook executives said at a news conference that the new facility created new standards for Environmental responsibility in data center design and operations. These standards incorporate renewable energy strategies, including rainwater reuse, solar energy and heat recirculation. So far, the energy-saving advantages of the IT industry's environmental efforts are obvious, although some companies do not always take these practices. As electricity prices rise, even symbolic efforts can significantly save costs. But...

The social future is now a mobile social and large data

Absrtact: Recently, the social field is very lively, the end of March Tencent reported in 12 Annual report of the micro-letter friend Circle of the monthly active account growth to 247 million households, QQ space month active 603 million; 51 ago Alibaba bought Sina Weibo 18% shares with 586 million US dollars, thus Sina Weibo has a lively social field recently, 3 At the end of the month Tencent in 12 annual report disclosed the micro-letter Friends Circle Monthly active account growth to 247 million households, QQ space month active 603 million; 51 before Alibaba bought Sina Weibo with 586 million US dollars ...

There are three major sources of auto market data

One is from social media. Micro-letters, Weibo, these platforms will have a large number of text data, voice data, distributors and customers every conversation, micro-blog every message, micro-letter each interactive dialogue, through the appropriate voice, semantic mining, can explore the relationship between consumer and consumer behavior. After the car market large data can have these three major sources and the other is from the telematics system. In the next few years, the telematics system will become the standard car, similar to the car black box of such systems will automatically record a large number of vehicles, because of this ...

The five challenges and coping strategies faced by China's large data industry

Victor Maire-Schoenberg, one of the authors of the Great Data Age: A major change in life, work and thinking, has said that, as telescopes allow humans to perceive the universe, microscopes allow humans to observe microbes, and big data opens up a major transformation of the times. Large data, the most fashionable word in the IT field, is simply the ability to quickly obtain value information from a variety of data. The United States was the first country to discover and use the value of large data science. March 2012, the Obama administration announced the investment of 200 million dollars to pull big data related industry development, will "big data ...

"Big Data" will change the status quo of China's industry

The time is 1948, the location is Northeast China. Liaohsi into the critical phase. For the commander of the four field army Lin Biao, the most important goal after the Jinzhou is to defeat the Kuomintang new six troops. The method used by Lin Biao is to listen to the "intelligence report" every day, and the officers on duty should read out the situation and seizure of the troops. It's almost uniform data, and it's boring. Until one day, Lin Biao suddenly discovered that in a two-armed encounter in the Hu Shack, the ratio of the spear to the spear was slightly higher than the other battles, and the proportion of the car and the cart was slightly higher than the other battles.

"Big Data" will change the status quo of China's industry

The time is 1948, the location is Northeast China. Liaohsi into the critical phase. For the commander of the four field army Lin Biao, the most important goal after the Jinzhou is to defeat the Kuomintang new six troops. The method used by Lin Biao is to listen to the "intelligence report" every day, and the officers on duty should read out the situation and seizure of the troops. It's almost uniform data, and it's boring. Until one day, Lin Biao suddenly discovered that in a two-armed encounter in the Hu Shack, the ratio of the spear to the spear was slightly higher than the other battles, and the proportion of the car and the cart was slightly higher than the other battles.

Data analysis still in infancy? See TalkingData The key factors in the entry into force of large data

It is an important goal for us to realize the improvement of enterprise operation efficiency through large data technology, but this work is not easy for every enterprise. On January 21, "1 billion said TalkingData mobile Internet Industry index Data Report", a number of industry experts and senior talkingdata for us to share the release of large data value existing pits, and how we can solve. The so-called 1 billion said, refers to the TalkingData platform now covers 1.06 billion of mobile smart devices, including iOS, an ...

Teradata CEO of Greater China: how to cope with the big data age

Teradata, chief executive of the Greater China region, Singlun, said in an interview with Sina Science and technology, with the arrival of large data era, enterprises should be in the internal training of three kinds of ability: first, the ability to integrate enterprise data; second, explore the value behind the data and the ability to develop precise action programmes; The ability to perform accurate and rapid real-time operations. Data rapid growth Teradata Company is an intelligent analysis solutions vendors, mainly for enterprises and government agencies do data integration, analysis, exploration, mining data behind the value, thereby enhancing customer production competitiveness ...

Large data in the cloud: data speed, amount of data, type, authenticity

This article describes ways to perform large data analysis using the R language and similar tools, and to extend large data services in the cloud. In this paper, a kind of digital photo management which is a simple and large data service is analyzed in detail, and the key elements of searching, analyzing and machine learning are applied to the unstructured data. This article focuses on applications that use large data, explains the basic concepts behind large data analysis, and how to combine these concepts with business intelligence (BI) applications and parallel technologies, such as the computer Vision (CV) and ... as described in part 3rd of the Cloud Extensions series.

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