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Where are the opportunities for SME change in the Big Data era?

Yesterday Xiaobian listened to a period of "brainstorming" television program recording process, the theme of this show is brought about by the big data era of entrepreneurial opportunities for change, or quite interesting, and the recording process than the broadcast The effect is much more fun. Xiaobian here to share with you some of the information (some do not remember Kazakhstan, we all know it): Attendees are: Entrepreneurs Square: all still remember incomplete name, just remember that they founded the company and the product is very interesting, is "Overlord food, today's headlines, aunt," and one did not remember ("aunt" ...

Application of large data technology in environmental information

Application of large data technology in environmental information Li Anzan Wang Wang Zhangquan Chu Yan in the project of "Integrated demonstration of water environment management technology in Liaohe River basin", with the accumulation of time, Environmental monitoring data processing system has been collecting more and more data. However, the data processing system of environmental monitoring in Liaoning Province can not effectively deal with the increasing amount of data. The data center of Environmental monitoring data processing system is improved by using large data technology. Using HDFS powerful data storage and management functions, In response to the increase in data volume, using MapReduce and Hado ...

Website Data analysis: Seeing is not necessarily real

Summary: The website data is every SEO stationmaster the most concerned data. We analyze all kinds of data for one purpose, and that is to get good rankings in search engines. However, some unreliable or false data, often misleading web site optimization decisions, site data is every SEO webmaster most concerned about the data. We analyze all kinds of data for one purpose, and that is to get good rankings in search engines. However, some unreliable or false data, often misleading the site to optimize the decision, or even to the wrong direction of the Web site led to the right to drop. On this point, the author ...

Big data is expected to revolutionize lifestyles

Lead: The New York Times Printing Paper published an article on the 30th that big data will evolve into a new chapter in the history of human commerce, most likely to replace the paradigm of ideas, examples, organizations, and even human thinking of the world. But at the same time, experience and intuition are as indispensable. The following is an excerpt from the article: "Big data is important and intuitive as well." This was the subject of an industry conference held at the Massachusetts Institute of Technology earlier this month. Andrew McAfee, chief scientist at the Massachusetts Institute of Technology Digital Commerce Center, said big data will be a human business history ...

File management encounters cloud computing and big data

File management encounters cloud computing and large data Liang Liu Liu Yijun application of cloud computing and large data thinking, the historical changes brought about by archives management analysis, the construction of archives cloud and the combination of large data, the birth of explosive data. This paper expounds the influence and challenge of the archives management in the tide of thought that accompanies cloud computing and large data, and the transformation of archives management in the background. File management encounters cloud computing and big data

The intelligent management technology of oil and gas reservoir data based on cloud structure

Intelligent management Technology of oil and gas reservoir data based on cloud architecture Juan Liao Weihua Shijiang Chen Yang Yi oil and gas reservoir data is an important basis for oil and gas reservoir research and development, because of the heterogeneity of the data source and the imperfect integration mechanism, the separation of data has seriously affected the efficient operation of oil and gas reservoir research and development decision-making. To this end, combined with the construction goal of the digital oil and gas reservoir research system of PetroChina Changqing Oilfield Company, this paper proposes a cloud architecture environment based on wrapper/me, by analyzing the dependence between different data sets of oil and gas reservoirs and the correlation between the business requirements and data centers.

The external factor of SEO should pay attention to data analysis

Abstract: Of course, there are many external factors of SEO need to pay attention to, in addition to resource integration, experience collation, there is also a more important is the data analysis. Because a lot of effective data analysis can help us better grasp the direction, let us optimize the external factors of course SEO There are many need to pay attention to, in addition to resource integration, experience collation, there is also a more important is the data analysis. Because a lot of effective data analysis can help us better grasp the direction, let us optimize the targeted. It is not difficult to find that the owners of the cattle Fork are data analysis ...

Analysis of cloud computing: data center vendors how to look?

For each data center supplier, the third quarter of 2011 is very tough. Several prominent data center companies, such as Digital Realty Trust, Equinix, and Rackspace US, are aware that their share value index has dropped by double digits from July through September, making the situation even more spectacular Customers in the have to be worried about their stability. Some data center experts think of this defeat as a condition caused by a big market environment, not data ...

Large data analysis and high speed data update

Large data analysis and high speed data update Chen Shimin large data for data management system platform The main challenges can be summed up as volume (large data), velocity (data generation, acquisition and update speed) and produced (a wide range of data) 3 aspects. For a large data analysis system, try to understand the importance of velocity and how to deal with the challenge of velocity. First, compare the different requirements of the data processing, data flow, and analysis system to velocity. Then from the data update and the large data analysis system correlation ...

Application research and analysis of cloud computing in research data management

Application of cloud Computing in research data management Wu Zhenwan Liu Xiaomin This article describes the Kindura, ADMIRAL, and SRF three research data management projects that apply cloud computing technology to study how cloud computing technologies can be integrated into workflow and systems for data management, The paper also summarizes and analyzes the characteristics of the application of cloud computing technology in data management project. Application research and analysis of cloud computing in research data management

Research on the framework of large data analysis process

Research on the framework of large data analysis process Jinzongzefonyali Yang Zhengnan Zhang with the continuous innovation of information technology, the constant expansion of the volume of data has become a topic closely related to daily life. The value of digging up large data is already hot, and how to analyze large data more efficiently and quickly has become one of the major challenges of big data development. In recent years, academia and industry have studied the analysis of large data and obtained some research results, but the research on large data analysis is still very limited. In this paper, the traditional data warehouse and data warehouse of large data era are firstly ...

Approximate query on large data

Approximate query on large data UC Berkeley Amplab Senior software engineer Sameer Agarwal in this Spark summit to detail the BLINKDB goal, what is BLINKDB and its architecture and so on. Approximate query on large data

Big Data in Cloud

Big Data in Cloud block junping Apache Hadoop committer--virtualization, SDDC and cloud--trends from I observation in big Data--yarn : Resource hub for the big Data applic ...

The data center interpretation of the trend of liquid-cooled server

With the rapid development of mobile data, cloud computing and big data services, the scale of data center construction is getting larger and larger. Data center owners' demands for energy conservation in data centers also gradually come to the fore. In recent years, many data center energy-saving technologies have emerged, but none of them has broken through the bottleneck of thinking. They have been paying attention to the technical innovation of data center infrastructure at their own level without incorporating the server facilities into data center energy conservation projects. In a unified manner, Think about energy-efficiency issues in your data center, making it hard to break the 1.60 threshold of data center design PUE. Dawn liquid-cooled server P ...

Infrastructure hardware value of cloud computing data center

"Cloud computing is not simply about buying a server, and then putting him in the data Center for virtualization, the value and price of cloud computing are relative, prices are not cheap, but the value is high," claranet, Product manager Martin Sanders, said in a recent World summit on Applications in London. But if you focus only on the cost, then it's definitely a matter of losing the watermelon and catching sesame, because we need to get a deeper understanding of what cloud computing services are, and not just buy infrastructure facilities. "He also said that people ...

[Document] Cloud data management

Cloud Data management:a Short Overview and Comparison to current approaches Siba Mohammad Sebastian breßeike Schallehn the C Ontribution of this monitors be to provid ...

Big data is probably the most fashionable word in almost a year.

Big data is probably the most fashionable word in nearly a year, and the real essence of big data is not "big", but a whole new set of thinking that is connected to the Internet.   What is the biggest difference between big and traditional data? 1. Online. First, the big data must be always online, and the online is also hot backup, not cold backup, not on tape, is ready to call. The data that is not online is not big data, because you have no time to export it to use. Only online data can be computed and used immediately. 2. Real time. Large data must be real-time counter ...

Big Data revolution, just beginning

The arrival of the big data age, let "data namely assets" become a new global trend, the national competition focus is shifting from the scramble for capital, land, population, resources/energy to the contention for large data, the large data subversive change global strategic pattern, international security situation, state governance structure and resource allocation mode, caused great economic change. For China, "overtaking" will be realized only when large data is raised as a major national development strategy, and the level of modernization of national governance system and governance ability is upgraded. The strategic significance of large data technology is not in mastering huge data information, but in ...

HP 50 million dollar strategic investment large data platform Hortonworks

Beijing Time July 25 news, according to Science and technology blog Recode reported that HP is about to announce the Big Data platform Hortonworks strategic investment of 50 million U.S. dollars. Hortonworks is a Hadoop start-up that was spun out of Yahoo in 2011. As part of the deal, HP executive vice president and chief Technology Officer Martin Frink (Martin Fink) will join the Hortonworks board. Hortonworks has previously been awarded by the private equity firm Blackstone Group and Pa ...

Secrets of Germany's Championship: How to manage players with big data

The German team beat Argentina 1:0 in the early hours of the day, the 4th time in history to hold the World Cup trophy. June 21, Wetech has done a report to decrypt the German team how to use large data management team. Today, let's revisit this story and explore the secrets of Germany's championship. 21st century economic reporter Huang Shanghai reported that in the World Cup, the German team in the first round of the 4:0 victory in the possession of Ronaldo's Portuguese team, who would have thought that this is actually the power of large data? This June, the SAP Brazilian branch and the German Football Association in Germany's world ...

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