Large Data

Microsoft has updated the Hadoop based on Microsoft Azure in the most recently published SQL Server 2012. While Microsoft released the latest version of SQL Server last week, Microsoft also announced its second preview of the Hadoop large data service based on Windows Azure. Micrsoft Many of the new features and new services in SQL Server 2012 are based on Microsoft customers ...

Application of large data technology in precise air drop system Yunsug Zhangguigang Yang Hongbin Wang Shijun precise drop system can deliver goods and personnel to designated areas quickly, accurately and cheaply, so it plays an important role in the disposal of emergency emergencies. Based on the research of the accurate aerial dropping technology and the large data processing technology, this paper puts forward a block diagram of the precise drop system, and demonstrates the feasibility of the application of large data technology in the precise drop system. Application of large data technology in precise drop system

Research and practice of large data application of telecom operators China Mobile Research Institute--The large Data development survey--the demand of the operator's data processing--the research and practice of China Mobile in large data processing

Challenges and reflections on modeling and Simulation in the age of large data--a summary of the academic salon of the 81st New viewpoints of China Association of Science and Xiaofeng He Huihuan Xu Xulin September 2013 China System Simulation Society undertook the 81st phase of the Chinese Association for Science and Research, the new theory of academic salon, the theme of Sharon is "the challenge and thinking of modeling and simulation in large data age", is the fourth normal form based on large data established? What challenges do large data methods pose to simulation modeling? What opportunities does large data method have for simulation modeling? "and so on three topics discussed, this article ...

The large data age is the advanced stage and social State of the development of knowledge management, its biggest characteristic is to realize the breakthrough of the intension and extension of "knowledge", the big data is the knowledge system after explosion, and the other is to realize the macroscopic expansion of knowledge management from organization to society. To explore and think large data can not be separated from the classical theory of knowledge management, on the other hand, we must fully take into account the "advanced stage and social state" of the two major characteristics. The large data actually raises the problem of knowledge management of the whole society and the whole mankind, and it is the precondition of the large data to make all mankind and society as a unified organization system. No doubt...

Absrtact: Large data start-up sisence 30 million U.S. dollars in Thursday to obtain a C-round financing, DFJ substituting, the investment party has battery Ventures, Genesis and Opus. Sisence last year has received 10 million U.S. dollars of financing, cumulative financing has reached 50 million U.S. large data start-ups sisence in Thursday to obtain 30 million U.S. dollars in C-round financing, the DFJ substituting, the cast side has bat ...

Large data application analysis based on Hadoop 1, large data background 2, Hadoop architecture 3, large data product analysis based on Hadoop 4, application analysis of large data industry based on Hadoop 5, Neusoft based large data application suggestions Application analysis of large data based on Hadoop

Open innovation of large data Intel China Research Institute Wugansha Open innovation of large data

Challenges faced by parallel processing in large data analysis Zhang, Ohio State University, USA [download Address]:http://bbs.chinacloud.cn/showtopic-15217.aspx

Large data analysis start-up Sociocast, after acquiring the latest round of 1 million dollars in investment, changed the positioning of the product, from focusing on large enterprises to small and medium-sized enterprises, the move immediately received a surprise, the flagship online Analysis products Prediction API accepted the number of requests in one months soared to 700 million. According to Albert Azout, chief executive of Sociocast, the sales cycle of data Analysis Services for large enterprises is too long, and the demand for "smart data" in the SME market is very strong. Reference reading: SME B ...

Absrtact: Big data can really do a lot of things, even involving some seemingly rock-solid traditional areas like agriculture. Agriculture has its own specificity, product production has a fixed cyclical constraints, and in the output process there will be a variety of factors interference, large data can really do a lot of things, even involve some of the seemingly solid rock of the traditional areas, such as agriculture. Agriculture has its own particularity, product production has fixed periodic limit, and in the process of production will have a variety of factors interference, large to the weather hydrology, small to ...

Absrtact: Big data can really do a lot of things, even involving some seemingly rock-solid traditional areas like agriculture. Agriculture has its own specificity, product production has a fixed cyclical constraints, and in the output process there will be a variety of factors interference, large data can really do a lot of things, even involve some of the seemingly solid rock of the traditional areas, such as agriculture. Agriculture has its own particularity, product production has fixed periodic limit, and in the process of output will have a variety of factors interference, large to weather hydrology, small to warehousing logistics. But agriculture is the home of all human beings ...

Spatial analysis in the age of large data Zhangxiaoxiang in recent years, large data are increasingly used to describe the coming era of information explosion, but also caused a high degree of attention by government departments. Firstly, the characteristics and latest development of large data and large space data are reviewed. Secondly, the core issues of three geo-information science, such as spatial analysis, spatial modeling and spatial optimization, are reviewed and reviewed from the perspective of GIS basic theory. On this basis, it extends the space philosophy and space thinking behind the space theory method. Finally, it points out the opportunity and challenge of the development of geo-information science in large data age. &nbs ...

Key technology and practice of large data research Chen High Energy Physics Institute-thousands of years ago: scientific research is the mechanical record of observation-the past hundreds of years: the abstraction of things through modelling and conceptualization-over the past few decades: computer simulations of complex phenomena-today: The unification of theory, experimentation and simulation Key technology and practice of large data in scientific research

The development and revelation of foreign large data industry the intension and application of a large data Liu Xiaogang two the development of large data industry in foreign countries and its suggestion on the development of foreign large data industry

Large data GIS Li Qingquan deren Large data not only makes the world realize the importance of data, but also causes many industries to change radically. The large data age also presents many challenges to GIS, such as the storage and management of massive, multi-source, heterogeneous data, and the value mining in the face of a lot of noise. As an important tool for spatial data management, analysis and visualization, GIS must be changed and adjusted in large data age to meet the needs of large data. This paper analyzes the challenges of traditional GIS in the light of several "V" characteristics of large data, and studies the basic ...

On October 18, at the 2013 data Forum held at Rochester University, Rochester University president Joel Seligman announced that it would raise 50 million dollars to build a new data science center dedicated to the field of large data research. The center will bring together experts from the Rochester University's research data science to share research progress. Rochester has invested 50 million of dollars in school-related researchers and computing infrastructure over the past 5 years, helping 100 researchers get about 300 million dollars in data science and research funding. Luo ...

Real-time Large data image classification in MapReduce frame Zhang Feng Lin Wang Sheng blueprint like data as an important part of large data contains a wealth of knowledge, and image classification has a wide range of applications, the use of traditional classification methods can not meet real-time computing needs. To address this issue, An algorithm of parallel online extreme learning machine is proposed. Firstly, the output weights matrix of the hidden layer is obtained by using the On-line Extreme Learning machine theory, then the matrix is segmented according to the characteristics of the MapReduce calculation frame, in order to replace the original large-scale matrix accrual operation, and to divide the multiple matrices in different ...

The preliminary practice of large data idea Trick Jone  a big scientific and large data basic concept  two RSS based crawl  three whole station download  four data integration  five other issues to be noted the preliminary practice of large data concept

hitachi Large data processing open source middleware temp_12040815388338.pdf