Unstructured Data In Big Data

An average company spends $2.1 million a year on unstructured data processing, according to a survey of 94 large U.S. companies from the Novell Ponemon Institute, which has the highest cost for some tightly regulated industries, such as finance, pharmaceuticals, communications and healthcare. Will reach 2.5 million dollars a year; another survey from Unisphere research showed that 62% of respondents said unstructured information was unavoidable and would surpass traditional data over the next 10 years. In addition, 35% of the people said that in ...

Beijing August 23 News, according to foreign media reports, supermarkets inside how to design to maximize the increase in sales? On the face of it, the problem seems to be not related to data scientists. Consumer behavior is hard to quantify: unpredictable and seemingly unfounded. Why do some shoppers spend more time in certain channels than others? Why does every shopper have a different route to walk in the store? Why do some products sell well in the morning, but not at all in the afternoon? The answer to these questions depends on unstructured data analysis--because of unstructured, the data cannot be uniform ...

Ufida UAP Data platform has the ability of large data processing and analysis, it mainly relies on unstructured data processing platform Udh (UAP distribute for Hadoop) to complete. 　　UDH includes Distributed file system, storage database, distributed analysis and computing framework for Distributed batch processing, real-time analysis query, stream processing and distributed batch processing based on memory, and distributed data mining. In today's big data, companies can not blindly follow, but should understand why big data is so hot, why pay attention to it. Its ...

Guide: 80% of the data in an enterprise is unstructured, and the data is increased by 60% annually. How do you better keep different types of files that are potentially valuable worldwide, rather than interfering with day-to-day work because they are handled? Of course you can buy more in-place storage devices, but there are always limitations. Cloud storage is the storage technology that more and more IT companies are using. The following section explains some key points about business information stored in the cloud. Managing unstructured data in the cloud according to a survey by IDC, 80 of the enterprise ...

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.

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.

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.

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.

"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 ...

The coming 2013 is considered to be a "year of big Data" with a trans-era significance. In this year, the data is more precious than ever, and even become a new energy source comparable to the oil resources, the big data is considered as the information and the Internet after the whole revolution of the message again peak. However, large data is not a slogan, and more enterprises need to be put into practice to dig out the potential value from the monotonous data. A survey earlier this year pointed out that 28% of global companies and 25% of Chinese companies have started to practice big data. In order to further understand the real situation of large data application of Chinese enterprises ...