Data Processing

Xml_set_default_hanhttp://www.aliyun.com/zixun/aggregation/16504.html ">dler establishes a default header. Syntax: boolean xml_set_default_handler (int parser, string handler); Return value: Boolean function kind: Data processing content Description This function configures the default subscript ...

The National Spaces Science Data Center's (NSSDC) Common data Format (CDF) is a self-describing data image that is used to store and work with the standalone platform's cubes. It consists of scientific data management software packages (such as the CDF Library) that allow programmers and application developers to manage and process scalar, vector, and multidimensional data arrays. Common Data Format 3.4.0 This version adds HTTP://WW ...

Highly scalable sparse matrix multiplication Wuzhiguang Mao Chen Han Lei lijun matrix multiplication is a very important basic operation in linear algebra and graph algorithm, while the matrices in large-scale data processing are often sparse matrices. The MapReduce programming framework can effectively support the distributed computing of massive data. Therefore, how to use MapReduce programming framework to realize the multiplication of super large sparse matrix is studied. The traditional matrix multiplication parallel algorithm does not specifically optimize the sparse matrix, resulting in a large number of unnecessary communication overhead during the calculation.

As life grows richer, large numbers become more difficult to deal with, and because of the volume of data and the variety of data types, technicians have to overcome a lot of challenges and obstacles in the process of analysis. This article discusses why data becomes more complex and difficult to manage, and what challenges and obstacles we face when we analyze, consolidate, and store it, and, of course, what kind of opportunities the future brings with big data. Big data is really big and complex. How big a simple example to go to a kid's birthday party. When you start, you will send ...

Absrtact: The development of artificial intelligence and robot technology is making the boundary of human and machine become more and more blurred. In many aspects, such as data processing ability, exploration ability and knowledge reserve ability, the machine has transcended human and replaced the social function which was originally completed by human, and the development of artificial intelligence and robot technology is making the boundary of human and machine become more and more blurred. In many respects, such as the data processing ability, exploration ability, knowledge reserve ability and so on, the machine has already surpassed the human and replaces the social function which originally was completed by the human, from this aspect example already numerous. Optimistic, more ...

The rapid growth of life science research data has led the industry to turn its attention to cloud computing applications, especially in the field of genetic research.

Undoubtedly, the management of big data is now a hot topic in the enterprise development community. But why the discussion of big data has become a popular phenomenon will appear so late? Why has big data processing been not part of an enterprise toolset for so long? Does this mean that today's information technology ecosystem makes big data solutions as smart as they are today? One of the key reasons why big data management is so hot nowadays is that most organizations have to manage the growing volume of data that they handle. From the Internet ...

Research on mapreduce sequence rule in recommendation system the personalized recommendation system model of two chrysanthemum Guo Jinwei Pijan is usually based on collaborative filtering or content-based and partly based on association rules. These algorithms do not take into account the order of transactions, but in many applications such sequences are important. In this paper, a simple recommendation model based on sequential pattern is proposed, and the MapReduce programming model is combined with the consideration of large-scale data processing. This simple recommendation model can be used to assist in the general ...

Multi-sensor target recognition based on Bayesian network in cloud computing Zhang Minglipo Liu Coquan Gao based on cloud computing can realize the characteristics of mass data processing of distributed parallel program, put forward multi-sensor target recognition and fusion processing on cloud computing Hadoop platform, and run it on computer cluster composed of multiple nodes. Based on the principle of target recognition, the structure of Bayesian network is established, the data of target recognition preprocessing is fused, the target type is inferred, and the efficiency of Hadoop cluster in different situations is analyzed. The experimental results show that the fusion of target recognition ...

How will China respond to the financial crisis after countries have put their hopes on a revolutionary breakthrough in technology to speed up a forward-looking layout? In a recent report published by the Chinese Academy of Sciences on the new situation of scientific and technological development and strategic choice for the 2020, it gives its own suggestions: in the field of large data science platform, stem cell and regenerative medicine to meet the important needs of the country, China may achieve major breakthroughs in science and technology and the world may have major scientific and technological events in the field to accelerate or strengthen the major scientific and technological layout. Large data science will bring a group of new industries, the Chinese Academy of Sciences, the strategic report ...

Absrtact: Large data start-up Adatao recently completed a 13 million dollar a round of financing by Andreessen Horowitz, Lightspeed Venture and Bloomberg, Andreessen Horowitz's Peter Levine will join the company's board of directors, while Marc Andreessen will serve as the company's consultant for big data start-ups Adatao recently completed by Andreessen ...

Zhongan Insurance is the first Internet insurance company and the first financial company to bring all its business systems to the cloud computing platform. Through the use of cloud computing technology, disaster recovery deployment of the two centers and three centers has been realized in only few months.

Under the background of the rapid development of information technology, with the development of science and technology, people's criminal means are becoming more and more renovated, and the crime of intelligence and science and technology is constantly appearing. At the same time, the detection of cases, the capture of criminal suspects, are inseparable from the intelligent combat information. As the public Security Information network and the Operation hub of the application system, the information center of the police is responsible for the efficient integration and optimization of all kinds of information resources, to provide the city's police with cross-regional, cross-department support and services of the important functions, it embodies the public security information construction and operation management level of the important Therefore, the public ...

GRASS (the geographic Resource Analysis Support system) is a raster and vector based GIS (geographic information system) GIS, For image http://www.aliyun.com/zixun/aggregation/34332.html "> processing system, Graphics production system, Space Modeling system." It contains ...

Research on mass data processing based on cloud computing and data mining technology Wang Peng Wang Jian An Guo Baziz mainly introduces the use of the optimized sprint algorithm for mass data processing under the Hadoop platform. This paper introduces the traditional sprint algorithm of data mining algorithm, and then combines the MapReduce programming pattern in cloud computing to improve and optimize the sprint algorithm, porting the parallel sprint algorithm to the Hadoop platform, and finally realizing the distributed data processing through experiment. Keywords: cloud computing, data mining, SP ...

Massive data processing has always been a very important part of cloud computing. At present, like Google,yahoo in related aspects have their own proprietary technology. For example, Google's MapReduce based sawzall language. And Yahoo is based on the pig of Hadoop. At this year's VLDB conference (VLDB is a very important technical conference in the field of database), Microsoft introduced its own new achievements "SCOPE" language in the massive data field. According to a white paper from Microsoft, it shows that ...

"Abstract" when Hadoop enters the enterprise, it must face the problem of how to solve and deal with the traditional and mature it information architecture. In the past, MapReduce was mainly used to solve unstructured data such as log file analysis, Internet click Stream, Internet index, machine learning, financial analysis, scientific simulation, image storage and matrix calculation. But in the enterprise, how to deal with the original structured data is a difficult problem for enterprises to enter into large data field. Enterprises need large data technologies that can handle both unstructured and structured data. In large data ...

Absrtact: Missing the wave of mobile internet, the Golden age of Intel is gone forever. But what about Intel, which remains near 200 billion dollars in market capitalisation? Fortunately, technology has never been a straight line development, the curve beyond the success of the numerous. To preempt a technology that misses the wave of mobile internet, the Golden age of Intel is gone. But what about Intel, which remains near 200 billion dollars in market capitalisation? Fortunately, technology has never been a straight line development, the curve beyond the success of the numerous. Grab a tech wave ...

The platform can be divided into three categories: a storage-based cloud platform based on data storage, a computational cloud platform based on data processing, and an integrated cloud computing platform that combines computing and data storage processing.

The primary purpose of using redundant array of independent disks (RAID) is to improve the disk http://www.aliyun.com/zixun/aggregation/14345.html "> Data processing capabilities and to provide redundancy." RAID can be set up either through the operating system (software RAID) or through a dedicated RAID control card without setting up the operating system (hardware RAID). This chapter will explain how to configure the Redhat/fedora Linux ...