Big Data

The huge potential market in the business sector has enabled large storage vendors, such as EMC, IBM and NetApp, to focus on market opportunities for big data. Each vendor has released (or is around the corner) designed for http://www.aliyun.com/zixun/aggregation/13452.html "> Distributed computing Environment of storage systems, in the manageability, Scalability and data protection help users overcome HDFs deficiencies. Most of these can be used with open interfaces such as NFS and ...

Dell (http://www.aliyun.com/zixun/aggregation/13533.html ">dell") founder Michael Dell recently announced that Dell will dedicate 60 million of dollars in investment funds, Used to invest in storage start-ups. Dell said the future of large data storage will create a huge market. Michael Dell claims that in the future there will be great companies around big data services that Dell is willing to help ...

In the recent "Big Data Forum" held by Intel, IDC analysts give the following ten predictions for the future of Big Data ten. 1, Hadoop to commercialization 2, some of the early Hadoop projects faced with challenges 3, open source software to bring more relevant market opportunities open source software provides many solutions to the problem of technical ideas, and completely free use, cost advantages are obvious, but 周震刚 made a metaphor: water is free, But why do so many people buy bottled water? 4, large data to promote the merger between software companies without any ...

Let's break through the sheer volume of management, and look at some of the drawbacks of the big data infrastructure, whether it's based on Hadoop, or based on Adbms, or a combination of both. Companies seeking to maximize the commercial value of large data must address these issues effectively. The following three recommendations help your business maximize the business value of large data: first, narrowing the gap between business users and large data the current implementation requires many of the same components, traditional http://www.aliyun ....

Most enterprise IT executives and data storage professionals do not perform large data analysis deployment plans in their organizations, according to a new data storage survey by market research firm Theinfopro. 56% of respondents said they had no plans to deploy large data analysis applications even by 2013. Of the 255 respondents, half of the respondents were data storage professionals, and the other half were IT managers, corporate vice presidents and CIOs. Those who do not plan to perform Hadoop or other large data analysis software are subject to ...

From last year to talk about the broad "cloud computing", to the IDC 2012 as a large data, from unstructured and semi-structured data composed of large data and enterprise users of the distance closer. In 2011, big internet companies such as Facebook and Taobao have started to test large data-running fields. Large data from the initial transmission to the middle of the storage to perform the calculation analysis, and finally to optimize the user experience of the visualization of the display, the process of the value of the discovery of the development of the market to the manufacturers desire to increase. and large data from data analysis into value information is not a mouth ...

Jeremy Burton, EMC's chief marketing officer, points out that not only is the concept of "cloud computing", but also that the term "big data" has been given too much meaning by more or less hype. This is not to say that the term has not been properly defined. In fact, when you search for this term on Google, you can find more than 1.5 million related results in 0.27 seconds. Not surprisingly, and your search results also depend on the day of the search, whether EMC, IBM, Oracle, SAS, or not, have released countless definitions. For example, wiki ...

In the first half of this year, cloud computing and big data brought new weather to the entire IT market. On the one hand, more and more enterprises began to deploy cloud computing solutions; On the other hand, large data presents a rapid development trend, IT companies have released large data strategy or solutions, while many companies intend to adopt large data. All this adds up to the earnings of IT companies. Specific to various vendors, IBM as of June 30, the second quarter of earnings showed revenue of 25.8 billion U.S. dollars, an increase of 1%, the profit of 3.9 billion U.S. dollars, the year-on-year growth of 6%, continue to maintain growth trend. First half, IBM ...

Due to the particularity of large data, large data analysis technology is still in the development stage, old technology will be perfected, new technology will appear more. 1. Visualization analysis data visualization is the most basic function for both ordinary users and data analysis experts. The data image can let the data oneself speak, lets the user intuitively feel the result. 2. The image of data mining algorithm is to translate machine language to people, and data mining is the mother tongue of the machine. segmentation, clustering, isolated point analysis and a wide variety of algorithms to refine our data and value. These algorithms must be able to ...

Even if the pace of economic recovery is not yet emerging in the IT industry, it appears at least at the http://www.aliyun.com/zixun/aggregation/13782.html "> Business Analytics level," according to a new study by International Data Corporation IDC. Things are getting better. Business Analytics has become the hottest term in the software industry at the same time, with concepts such as business intelligence or customer experience that have benefited from the rise of new software space. Despite the influence of these ideas in the present.

Today, we are frequently exposed to the term "large data". But the industry still lacks a standardized definition of what big data is. So what does big data mean to the data storage infrastructure? The definition of large data by the Enterprise Strategy Group (ESG) is "a dataset that is larger than the conventional processing capacity boundary, which makes you have to resort to unconventional means." "In simple terms, we can use the word big data on any data collection that breaks through the traditional it processing to support the day-to-day operational capabilities of the business." These boundaries may appear in the following ...

The volume of corporate data is rising today, is being mentioned by more and more people and is often associated with cloud computing. As enterprise users become more mature in their understanding of large data, the size of large data has grown from dozens of TB to more than 10 PB-scale data. For enterprises, the current large data has 4 V characteristics worth Attention: http://www.aliyun.com/zixun/aggregation/13584.html "> Mass data volume, large-scale velocity, diversification varie ...

Is big data an opportunity or a challenge for you? When you are in a different position, the answer may be quite the same. In a recent big data survey by SAP, nearly 76% of senior executives see big data as an opportunity rather than something to avoid. For this result, SAP data management and analysis product http://www.aliyun.com/zixun/aggregation/32064.html for this survey "> Marketing director David ...

In March 2012, the Obama administration announced the launch of a "big Data research and development program". The program involves the National Science Foundation of the United States, the National Institutes of Health, the United States Department of Energy, the United States Department of Defense, the U.S. Department of Defense Advanced Research Program, the United States Geological Survey 6 federal departments, has pledged to invest more than 200 million U.S. dollars, vigorously promote and improve the large data-related collection, organization and analysis tools and technology, To advance the ability to acquire knowledge and insights from a large and complex set of data. The Obama administration announced that investing in large data areas is big data from commercial behavior to the country ...

On the one hand, the "big Data" as the theme of the seminar was held, all kinds of enterprises declared to enter large data, on the other hand, based on large data technology business, a few simple attempts have not been able to achieve large data technology. So who is constantly welcoming the "Big Data" era? From the point of view of the revenue side, the application software Enterprise has found the new tool, the development of the initial application is also accepted by customers, their value is gradually reflected, and business companies are beginning to appear large data analysis needs, the need for technical support; Finally, the hardware company, whether it is the server or storage, large data on ...

Over the past 15 months, IBM has taken a number of column steps and has developed a robust cloud computing strategy that extends from a previously disconnected list of products and technologies to a group that runs through splitting software. In April 2011, IBM announced its SmartCloud strategy, a brand reshaping of cloud-related infrastructure, service (IaaS) and Platform-Service (PaaS) products, making it easier to deploy and manage public clouds. The company follows SmartCloud foundations, which is a promoter of building and managing public ...

IBM, traditional It giants such as EMC, HP and so on, by their own in the database, business intelligence, storage, data analysis, etc., through mergers and acquisitions, investment and other means, integration of hardware and software business, the introduction of large-scale data-oriented integrated products and solutions, and thus consolidate the leading position in the IT field. IBM takes data analysis as its core and builds integrated integration capabilities as the world's most important it vendor, IBM has 3 unique advantages in large data. First, IBM has a broad and integrated portfolio of information and analysis products and services, including large enterprise-level data ...

Now, IT administrators need to organize a lot of statistics on tracking networks, storage and computing devices, and software programs to help them decide what resources to adjust or diagnose problems. 　　Future data centers will be self optimized, using powerful analytics to detect patterns of dynamic data, and then make improvements accordingly. 　　Looking ahead again, it is clear that improving the automation of computing Systems management will improve the efficiency of the next generation computing system. For now, while the enterprise deploys sensors in all of the data center's devices, IT administrators still need to 、... the tracking network

As data grows in hundreds of terabytes, we need a unique technology to address this unprecedented challenge. Big data analysis ushered in the great era of the global organizations of all walks of life have realized that the most accurate business decisions from the facts, not a figment of the imagination. This means that they need to use the decision model and technical support based on data analysis in addition to the historical information of the internal trading system. Internet-clicked data, sensing data, log files, mobile data with rich geospatial information and various kinds of comments involving the network have become various forms of mass information. ...

In the context of large data, Microsoft does not seem to advertise their large data products or solutions in a high-profile way, as other database vendors do. And in dealing with big data challenges, some internet giants are on the front, like Google and Yahoo, which handle the amount of data per day, a large chunk of which is a document based index file. Of course, it is inaccurate to define large data so that it is not limited to indexes, e-mail messages, documents, Web server logs, social networking information, and all other unstructured databases in the enterprise are part of the larger data ...