Unstructured Data

When Hadoop enters the enterprise, it must face the problem of how to address and respond to the traditional and mature it information architecture. 　　In the industry, how to deal with the original structured data is a difficult problem for enterprises to enter large data field. When Hadoop enters the enterprise, it must face the problem of how to address and respond to the traditional and mature it information architecture. In the past, MapReduce was mainly used to solve unstructured data such as log file analysis, Internet click Stream, Internet index, machine learning, financial analysis, scientific simulation, image storage and matrix calculation. But ...

Once upon a time, social networks were growing quietly and becoming an integral part of people's work and life. Facebook is a typical representative of social networking today. Facebook, the leader of social networking sites, was initially designed to facilitate communication between college dormitories and later developed into a social network of more than 900 million users and ranked first in the world. According to IDC, 1 million new links are shared every 20 minutes on Facebook and 10 million user reviews are released. Facebook base ...

At present, big data has become a hot topic in the world. Gartner ranked large data as the most important technical direction for CIOs in the 2012, and IDC believes that big data is one of the most significant aspects of the enterprise's capacity reserve. In the recently held Teradata Data Warehouse and Enterprise Analysis Summit, the industry's hot talk "Data gold", looking forward to the bright future of the big data age. China Cloud reporter was fortunate to interview the Teradata company Chief Technical Officer Baoliming (Stephen BROBST), Teradata How to ...

"Abstract" when Hadoop enters the enterprise, it must face the problem of how to solve and deal with the traditional and mature it information architecture. In the past, MapReduce was mainly used to solve unstructured data such as log file analysis, Internet click Stream, Internet index, machine learning, financial analysis, scientific simulation, image storage and matrix calculation. But in the enterprise, how to deal with the original structured data is a difficult problem for enterprises to enter into large data field. Enterprises need large data technologies that can handle both unstructured and structured data. In large data ...

Twitter, on the other side of the ocean, plunged into slow business growth, the moment of lack of innovation, the listing of Sina Weibo has been the launch of a series of "new products", such as the opening of micro-blog payment, the introduction of micro-blog games, micro-blog reviews and rumors of the media program, but look at these products, including micro-bo payment relies on Ali Alipay Micro-Bo game derived from the previous micro-games, only micro-blog reviews, can be called a new product (since the media plan has not been announced, here for the time being). From the product design level, micro-blog reviews and other vertical categories of comments on the site is not much different, but from the data and biography ...

Big data is raging, and it has made every enterprise mired in it, but almost every business is convinced of the commercial value of the big data. It is worth emphasizing that in order to tame large data, mining large value from large data, clear recognition of large data is the inevitable first step. In response, ZDNet launched a market research on China's large data recognition and application, and was involved with 447 users from all walks of life. Through the analysis of research data, the panoramic impression of China's large data has gradually become clear. This article will be combined with ZDNet launched research data, scanning large data on China ...

The author is the broad application prospect of Soath, vice president of Oracle Company and technical general manager of Greater China. Corporate CEOs and CIOs talk about big data when they talk about business strategy and it model innovation. Gartner releases "Big Data drives Rapid Changes in infrastructure and $232 billion in IT spending 2016" ("rapid change in the large database-driven infrastructure ...").

The BI (business Intelligence) system is a popular system for CIOs, because it allows CEOs to personally experience the value of information, and the growing popularity of mobile bi speeds up the use of business intelligence systems by CEOs. "Ufida Huabiao general manager Miao to reporters. As we all know, the source of BI is data, and the object of BI is data. According to IDC forecasts, from 2009 to 2020, the total amount of data will increase 44 times times, to reach 35ZB. Of these, 80% of the data is unstructured data. There is no doubt that with the advent of the big data age, massive data to B ...

"Tenkine Server channel April 23" The Big data application of the vast number has been beyond doubt. Corporate CEOs and CIOs talk about big data when they talk about business strategy and it model innovation. Large data drives Rapid Changes in infrastructure and $232 billion 2016, Gartner ("rapid change in the big-drive infrastructure", 2 016 Years ...

Ai technology plays an increasingly important role in the field of large data, and it technicians have an increasing interest in IBM Watson. Recently, Li Yonghui, an outstanding engineer at IBM's Ministry of Science and Technology, attended the 2014 China Large Data Technology conference and received an exclusive interview with CSDN Cloud computing, taking Watson as an example to analyze the practice and prospect of the application of AI technology in the industry. Li Yonghui that, through the combination of structured data and unstructured data to generate wisdom is the future direction of large data, the cognitive computing technology represented by Watson is to achieve this goal, its ability to ...

According to analysis, by 2020, the amount of data stored electronically in the world will reach 35ZB, which is 40 times times the global storage in 2009. At the end of 2010, according to IDC, global data volumes have reached 1.2 million PB, or 1.2ZB. 　　If you burn the data on a DVD, you can stack the DVDs from the Earth to the moon and back (about 240,000 miles one way). In the process of information construction, it is well known that the data can be divided into 3 kinds: structured data, semi-structured data and unstructured data. Which ...

Every two days we produce data that is about 350,000 times times the size of the library in the United States Congress. This includes only 4.8 trillion of the online advertising data generated in 2011, and 294 billion emails sent every day. If these data can be explained, then all these data will provide us with a very valuable reference to analyze and insight into consumers ' consumption habits and intentions. In the final analysis, this can help us integrate a large amount of structured and unstructured data and learn more about it, drawing on the ability to capture large data. Big Data ...

Cloud providers have realized that cloud object storage services are a powerful way to turn "big data" market hype into cash. Large data analysis extracts information from unstructured data, which is too clumsy for the traditional block storage technology offered by most cloud providers. Many enterprise customers are struggling to adjust their existing internal IT infrastructures and traditional data warehouses, and cloud providers are finding the services that are based on cloud object storage, offering not only cost reductions, but also technical challenges for customers and large data management. Cloud Object storage: Enables unstructured data collection and storage of large datasets ...

Intermediary transaction SEO diagnosis Taobao guest Cloud host technology Lobby summary: Last night, Microsoft (Asia) Internet Engineering announced that the second generation of intelligent chat robot "Microsoft Ice" officially on the line, users can log on to Microsoft Ice official website for "adoption" operation. 　　   　　So what is Microsoft's small ice product? 　　July 2, the Microsoft (Asia) Internet Engineering Institute announced that the second generation of intelligent chat robot "Microsoft Ice" officially on the line, users can log on to Microsoft Ice official website for "adoption" operation. So, Microsoft Small ice ...

In "2013 Zhongguancun Big Data Day" Big Data Internet Financial Forum, the sky Cloud Big Data Feng Dazhi brings "big data and financial innovation" keynote speech. Feng Dazhi: Good afternoon! I am very glad to have the opportunity to discuss with you the big data to help our financial industry. I very much agree with director Liu said that only the industry's big data, not that I pass a big data to create a new industry. Therefore, we look from the sky cloud this angle of view, before our product release we all understand, we hope to help enterprises grow together to solve problems encountered by enterprises. ...

July 2, the Microsoft (Asia) Internet Engineering Institute announced that the second generation of intelligent chat robot "Microsoft Ice" officially on the line, users can log on to Microsoft Ice official website for "adoption" operation. So what is Microsoft's small ice product? First, Microsoft Ice is a smart chat robot. In addition to intelligent chat, but also a reminder, weather, constellation, traffic guide, restaurant reviews and other practical functions. Secondly, Microsoft Small ice integrates Microsoft's technology accumulation in large data, natural semantic analysis, machine learning and deep neural network, and has very powerful machine learning ability.

Ai need to have large data support artificial intelligence mainly has three branches: 1. rule-based artificial Intelligence; 2. Without rules, the computer reads a large amount of data, according to the statistics, probability analysis methods, intelligent processing of artificial intelligence; 3. A kind of depth learning based on neuron network. Based on the rules of artificial intelligence, in the computer according to the prescribed grammatical structure input rules, using these rules for intelligent processing, lack of flexibility, not suitable for practical. Therefore, the actual mainstream of artificial intelligence is the latter two. And then both are read by the computer ...

Das, San, and NAS-oriented storage architectures have been the main forms of storage in the data center for a long time, but with the advent of the large data age, unstructured data has become an important part of the enterprise storage System, and the subset of XML in Office documents, texts, pictures, standard Universal markup languages , HTML, all kinds of reports, images and audio/video information, and so on, are unstructured data, even the development of very mature SAN and NAS is still not good for the requirements of unstructured data, it can be said that object storage is in such a ...

Today, Microsoft is hosting a big data media day with the theme "Big control, big wisdom, big insight", sharing with dozens of domestic media the latest research results, solutions, and views on the future trends of large data. Users of Microsoft's big data solutions from domestic banks, automobiles, transportation, health care and retailing, through their personal experience, have introduced Microsoft's Big Data solutions for many industries. Microsoft Global Senior vice president, Greater China Region Chairman and Chief Executive Officer Hele (Ralph Hau ...)

"Tenkine to HP Global travel Beijing Station" Big data is already a universal consensus, but large data processing has become a worldwide problem. What kind of solution does HP offer users in terms of big data? 　　Hewlett-Packard Business Group Technical Services Division, Asia-Pacific and Japan Regional Vice president, consulting services business director Mohan Krishnan for HP's large data solutions introduced. Our production life produces data every day, and every enterprise produces a unique data footprint, which leads to the need to deal with ...