Unstructured Data

With Facebook on the market, and with more public opinion and attention once again on this world-class social network, Facebook is on fire. One of the interesting things about this is that Facebook has long been used as a SNS concept by the Internet, but when it comes to the market, it becomes a big data concept in the eyes of investors. In fact, it's too one-sided to say that Facebook is SNS. Citic Securities with the "Facebook listing leading the internet into the era of large data", advising investors to borrow Facebook's potential, not cast renren ...

This issue will discuss two major topics: 1. HP buys wireless networks with $3 billion trillion ARUBA;2.IBM investment is bullish, strategic adjustment for development. So many sound column links: http://voice.zdnet.com.cn/2015/0306/3047517.shtml guests point of view refining: "0:00" Hewlett-Packard to purchase 3 billion U.S. dollars wireless network monopoly Aruba from Aruba to HP's value to analyze, The combination of HP and Aruba is reasonable, HP pays more attention to a ...

There are two main ways to store data: Database and filesystem, and the object-oriented storage are developed behind, but the overall thing is to store both structured and unstructured data. DB is initially serviced for structured data storage and sharing. FileSystem storage and sharing is large files, unstructured data, such as pictures, documents, audio and video. With the increase in data volume, stand-alone storage can not meet the needs of structured and unstructured data, then in the era of cloud computing, there is a distributed ...

In the Internet industry, 2013 can be said to be recognized as a trans-era significance of the "big data year." 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 are already starting to practice big data. To learn more about China ...

In addition to the "Internet of Things" and "cloud computing", the IT industry has emerged a term-big data. Today, the big data has even aroused great concern in business and financial circles, and it is believed that large data will provide effective help for data application and decision support, and become the soul and inevitable development trend of Internet and cloud computing. Large data are not yet uniformly defined, and are often considered to be unstructured data with large amounts of data and diverse forms of data. Here we first understand a few concepts, structured data, semi-structured data, and unstructured data. Structured data can be in a relational database ...

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.

The storage system is the core infrastructure of the IT environment in the data center, and it is the final carrier of data access. Storage in cloud computing, virtualization, large data and other related technologies have undergone a huge change, block storage, file storage, object storage support for a variety of data types of reading; Centralized storage is no longer the mainstream storage architecture of data center, storage access of massive data, need extensibility, 　　Highly scalable distributed storage architecture. In the new IT development process, data center construction has entered the era of cloud computing, enterprise IT storage environment can not be simple ...

There are two main ways to store data: Database and filesystem, and the object-oriented storage are developed behind, but the overall thing is to store both structured and unstructured data. DB is initially serviced for structured data storage and sharing. FileSystem storage and sharing is large files, unstructured data, such as pictures, documents, audio and video. With the increase in data volume, stand-alone storage can not meet the needs of structured and unstructured data, then in the era of cloud computing, there is a distributed ...

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 ...

There are two main ways to store data: Database and filesystem, and the object-oriented storage are developed behind, but the overall thing is to store both structured and unstructured data. DB is initially serviced for structured data storage and sharing. FileSystem storage and sharing is large files, unstructured data, such as pictures, documents, audio and video. With the increase in data volume, stand-alone storage can not meet the needs of structured and unstructured data, then in the era of cloud computing, there is a distributed ...

The big data age has come and has quietly influenced our lives. According to a recent study by IDC, 1 million new links are shared every 20 minutes on Facebook and 10 million user reviews are released. 　　Facebook and all other Internet sites, Internet applications, have gradually become the entire data collection, analysis, processing and value-added architecture. In China, social networks are also in full swing. Sina Vice President Wang Gaofei has said that Sina Weibo has registered more than 300 million users, users on average daily release more than 100 million micro bonnet ...

"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 ...

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 ...

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 ...").

"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 ...

China's IDC Circle July 17 reported: Using cloud computing is to deliver information processing tasks to the data center to deal with. Most of the next generation data centers adopt virtualization technology, dividing a physical hardware server into multiple logical virtual machines, which can perform multiple information processing tasks at the same time, which greatly improves the utilization ratio of expensive scarce computing resources. People of my age are familiar with it. The supreme teachings of the great man of philosophy about everything can be divided into two ways (1957 Mao Zedong in the "dialectical method of unity within the party" clearly pointed out: "In two, this is a common phenomenon, this is dialectics", "Mao Zedong election ..."

With the emergence of new channels and technologies such as social networks, mobile computing and sensors, a large number of new data have emerged. We live in an era of exponential growth in data, and conventional technology has struggled to cope with the massive amount of data at PB (1024TB) levels. We have entered the era of diversified data. How do we deal with such a large data structure and the age of unstructured information? "The advent of the big data age is beyond doubt," he said, as he interviewed Teradata, Stephen Brobst Baoliming, chief technical officer. Only those ...

The big data age has arrived. The difference between big and traditional data is the expansion of data volume. According to the global data volume tracked by EMC and IDC, the digital world will grow 44 times times in the last 10 years, from 0.9 ZB to 35.2 ZB. Second, the type of data, complexity will be greatly increased, no longer only to deal with the internal structure of the data, more http://www.aliyun.com/zixun/aggregation/13739.html "> unstructured data, ...