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

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.

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 ...

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

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 ...

"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 ...

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 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 ...

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 ...

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 ...

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 ...

Zim is a graphical http://www.aliyun.com/zixun/aggregation/18444.html > Text Editor for maintaining and managing Wiki pages. Each page can be linked to other pages, simple formatting and images, pages can be stored in a folder with attachments, similar to outline view, all data stored in Yuvikig-style plain text files. The software's various plug-ins provide additional functionality, such as task List management, Equation Editor, a file icon, and support ...

Large data is gradually entering all aspects of social and economic life, scientific research, marketing, customer service, sustainable development, transportation, medical, education and other fields have their application. Many people believe that with the continuous growth of data volume and the improvement of analytical tools, large data will play an important role in the future society. In Europe and the United States, the discussion of large data is also in full swing: First, the National strategy in Europe and the United States, most countries launched the relevant strategies are more or less involved in the development of large data industry. The United States is the first country to launch a big data strategy. 2012 ...

With the efficient development and full use of large data in the military field, the war will enter a big data age. No doubt, to win the future information war, large data has become the army's necessary capabilities. The challenge of coping with massive data what is big data? People do not form a unified understanding, in general, it refers to the scale far more than the traditional database software processing capacity of the mass data . ...

"A time of mass production, sharing and use of large data is coming. Who has the big data, who occupies the commanding heights, has taken the initiative. "In the recent signing ceremony of the large data strategic cooperation agreement, the Director of the National Bureau of Statistics Jiantang words aroused wide resonance." The same day, Alibaba, Baidu, China Unicom [-0.87% funds Research newspaper], a shop, 58 with the city, 11 of the leading companies involved in large data gathered national Bureau of Statistics, jointly signed a large data strategic cooperation agreement and explore how to apply large data in government statistics. Large data as unstructured and ...