Online Trends

The weather is difficult to predict and control. But now one company is trying to use big data to predict the weather. Earthrisk is a technology company that uses big data to make predictions about future weather conditions. Earthrisk's flagship product is Temprisk. The predictive model it uses is derived from the University of California Institute of Oceanography, which differs from previous numerical prediction models by identifying weather patterns based on 82 billion calculations and 60 meteorological history data, and then comparing these patterns with current climatic conditions, and then ...

"Large data itself is a problem set, cloud technology is the most important and effective way to solve large data problem sets." "A senior data expert commented. With the recent big data to become the focus of the market, once the fiery cloud companies have been again attention. Shares in the US-listed two cloud computing and big-data crossover, which surged in the first day of more than 60% per cent, showed once again the U.S. stock market's enthusiasm for the sector. IDC, an international authority, calculates that the global "cloud computing" field in the last three years will have ...

Today, big data is becoming an important tool for many enterprise units, and as the data itself accelerates, the user's deployment of storage and data management is becoming increasingly important. And because of the challenges that users face, such as implementing analysis tools and controlling large data files, they also need to find more appropriate storage scenarios. Using metadata and policy management policy management is another important feature, even if you are implementing or driving some functionality with metadata. This also provides a flexible structure for unstructured data, eliminating the constraints associated with structured data management or about ...

Remember that classic case of big data mining? A store with a huge amount of information will even know that her daughter is pregnant before a mother. The product vision of the Ape test item is similar: In exams, it's better to know you than you are and to help you practice more efficiently. It will tell you which problem is not, where there is an omission, and if you practice hard enough, it can tell you how many points you can get in an exam that hasn't been held yet. This is also the ape Question Bank CEO Li Yong stressed himself to do is actually large data business reasons. He said, the ape question bank ...

In recent days, news of Chinese hackers attacking American companies and the media has been widely publicized, and the Chinese government and military have denied it, saying China is the main victim of cyber attacks. The fermentation of the matter, so that people's eyes quickly focused on the network information security above. With the rapid development of computer technology, information network has become an important guarantee of social development. There are a lot of sensitive information, even state secrets, placed on the network, its security has attracted much attention. 2011, the domestic well-known programmers web site Csdn was hacked, 600多万个 registered mailbox was forced to bare Ben; 2.

Mobile phone, mobile communication device or Internet social platform, it is no novelty, even in many third world countries, mobile phone popularity has more than a decade of history, as the Internet social platform, if from the earliest ICQ is also "more than 10 years old", even today's most popular Facebook and various micro-blogs, Its embryonic form has also appeared for many years. However, when "mobile communication" and "social network" to achieve seamless docking, combination, and to bring people "at any time embedded network" convenience, "personal privacy" has quietly become the "big Data Age" the most unexpected, the least Huan ...

Industry analyst Software and service provider SAS said in a recent company publication that the demand for data scientists in the big data age would soar, and that a shortage of talent would be a new challenge for companies. SAS points out that the advent of the big data age shows the amazing value of large data analysis for business development, at the same time, large data volume, unstructured, data sources are complex, making large data processing and analysis need to be different from traditional data analysis of new technologies (such as high-performance analysis hpa) and new talent. Data scientists locate data scientists set technical experts ...

"In Los Angeles, the police analyzed the data to predict which area was most likely to be committed within 12 hours; in the City of London, a trader thinks math can be a" secret "; in South America, astronomers try to classify the entire universe ... These disparate fields now have the same feature: a big burst of data. "This is the opening scene of the" Big Data Age ", the latest film of the BBC's brand" Horizon ". Indeed, the ubiquitous mass of information is changing the whole world and our way of life, a big data revolution quietly coming ...

With the rapid development of new technologies for the core, a broad participation of citizens as a new media audience, will continue to play an important role in the process of transforming government functions, the exploration of Shanxi public Security e-Government group has a certain reference significance in recent years, e-Government web site has a heavy construction, light management of the circle, become a lot of netizens in the eyes of "do not face" "Vase". Exploring the construction and maintenance mode of government affairs website has become the meaning of promoting information service and innovating social management. Opened only 4 months, "Shanxi Public security Services Online" Access volume on the breakthrough of 5 million, the acceptance of the mass business breakthrough 20,000 ...

Gartner notes that CIOs must be aware that innovation needs to go beyond the technology used to manage large data. To achieve maximum value, businesses need to seek and embrace innovation in the form of large data analysis of business issues. "Big data requires companies to embrace innovation on two levels," says Hung Lehong, vice president of Gartner Research. First, the technology itself is innovative. Secondly, enterprises must be bold in making decision support and analysis. The second reason is not a technical challenge, but a process and change management challenge. Large data technology brings an analysis of existing industries ...

Vast lake, High-definition camera collection of massive data, you can monitor the water quality changes at any time, on the network, using People Search, click, comments left traces, can be mined to produce more user preferences products ... May 19, in the provincial Science and Technology Workers Activity Center held in the "scientists salon", experts showed us the "big data" to bring profound changes in people's lives. "Data is wealth. The famous Futurist Toffler in the third wave of the book, "Big Data" enthusiastically praised as "the third wave of the CLS movement." ...

When Paul Maritz was about to step down as VMware's chief executive, he had this candid assessment of VMware: "Unless we are forward-looking, we will be seen as the end of the client-server era, not the beginning of the next era." Maritz's "opening" began with the official release of pivotal last month. The new joint venture, led by Maritz, includes EMC, VMware and GE, which will inject $105 million trillion. Pivotal is a ...

Big Data doesn't make you a big problem, in fact, big data can help you minimize business problems and help you make strategic decisions. But if you don't get a clear idea of the big data, it may also cause you unnecessary trouble. Let's take a look at 5 myths about Big Data: #误区1: It's new as a business user, you're still facing the same problem, and what's changing is how you solve these problems, and now the solutions come from an unlikely source: your big data. More than 85% of companies are executing or preparing ...

Now, the topic of big data is even more than cloud computing. Patricia Florissi, Vice President of EMC Inc. and global chief technology officer for sales, said: "At present, we do not have a profound understanding of the benefits that large data can bring to people and how far they can affect people's lives and work." Now, I go to the Amazon to buy books, will not only buy a book, but according to the site's recommendations, buy some other things I am interested in. This is the new changes that the big data age brings to people's lives. "Big data needs are really big ...

Not long ago I dined with the chief executive of a large bank. He is considering whether to withdraw from the Italian market because of the sluggish economy and the prospect of a euro crisis in the future. The CEO's economist paints a bleak picture and calculates what the downturn means for the company. But in the end, he made his decision under the guidance of his own values. The bank has a history of several decades in Italy. He did not want the Italians to feel that his bank could only share the pain. He doesn't want bank employees to think they're having a tough time ...

Big data is probably the hottest technical term now. Heat means there is a bubble, there is a place worthy of reflection. Quartz's Christopher Mims May 6 published an article, called "Most of the data is not large, pretending that big data is actually a blind waste of money", justified, recommended first read. If you're not in the big data camp now, try to get some. After all, competition requires big data. If you have a small amount of data, you will be completely defeated by your competitors ...

The relationship between big data and cloud computing has caused some confusion. In order to facilitate the discussion of the relationship between the two, from the "calculation" and "data" of the historical relationship. Because cloud computing is first a kind of "calculation", large data is first a kind of "data", and computer is used to "calculate" "data". Computers are software-and hardware-separated, a software-defined electronic product (programmable). An important issue in computer design is how to effectively manage hardware resources such as CPU, memory, and I/O, and how to make these resources reasonably available to applications. These two major tasks are embedded in various ...

Ovuline is a prenatal tracking device based on data analysis. It was previously invested by Lightbank, Launch Capital and other companies in a total of 1.4 million dollars. Today, they upgraded their intelligent pregnancy products to make their ovulation predictions more accurate and integrate self-service quantization devices such as Fitbit and Withings to provide real-time feedback. The company's founder and chief executive, Paris Wallace, founded the good Sta at Harvard Business School.

From the data center infrastructure building, the Green data center, the large Data reconstruction data center to the software remodeling data center, the China Data Center conference hosted by the China Computer newspaper participated in and witnessed the opportunities and changes in the Data center field. Into the 2013, cloud computing, large data boom, "software-defined data center" concept, the value of software to it will be further clarified and released. How can the challenges of data center deployment and operations be cracked by changing infrastructure, the management and availability pressures of growing complexity, the need for increased application efficiency and the level of energy efficiency management? ...

Titanium Media Note: A few days ago, the first domestic based on Baidu Cloud wearable hand ring equipment thump hand ring exposure. Abroad, manufacturers such as Jawbone and Nike have already cut into wearable equipment from personal health management. The Giants of different fields are starting to play, and this is the next blue ocean in consumer electronics, which is tied to big data technology. Large data is a hot topic in the field of information technology in recent years, and the health condition of the people is gradually heating up in the U.S. medical industry by using large data. Wearable, large data, health, the three look so close, but away from our vision of the future ...