Database Statistical Analysis Software

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R an excellent tool for statistical computation and statistical mapping

R is a free, free, Open-source software that belongs to the GNU system and is an excellent tool for statistical computing and statistical mapping. R is an implementation of the S language. s language is an interpretive language developed by at&thttp://www.aliyun.com/zixun/aggregation/13467.html "> Bell Labs" for data exploration, statistical analysis and mapping. Originally, the implementation version of the S language was mainly s-plus. S-plus is a ...

R language for Hadoop injection of statistical blood

R is a GNU open Source Tool, with S-language pedigree, skilled in statistical computing and statistical charting. An open source project launched by Revolution Analytics Rhadoop the R language with Hadoop, which is a good place to play R language expertise. The vast number of R language enthusiasts with powerful tools Rhadoop, can be in the field of large data, which is undoubtedly a good news for R language programmers. The author gave a detailed explanation of R language and Hadoop from a programmer's point of view. The following is the original: Preface wrote several ...

R language brings revolutionary changes to Hadoop cluster data statistical analysis

R as a source of data statistical analysis language is imperceptibly in the enterprise to expand their influence.   Unique extensions provide free extensions and allow the R language engine to run on the Hadoop cluster. R language is mainly used for statistical analysis, drawing language and operating environment. R was originally developed by Ross Ihaka and Robert Gentleman from Oakland University in New Zealand. (also known as R) is now being developed by the R Development core team. R is a GNU project based on the S language, so you can also ...

A distributed algorithm for deeply analyzing NoSQL database

The scalability of the system is the main reason for promoting the development of NoSQL movement, including distributed system coordination, failover, resource management and many other features. That makes NoSQL sound like a big basket that can be stuffed with anything. Although the NoSQL movement does not bring fundamental technological changes to distributed data processing, it still leads to extensive research and practice on protocols and algorithms. It is through these attempts to gradually summarize some effective database construction methods. In this article, I will focus on the distributed features of the NoSQL database ...

Security framework of database system and its security technology

1. With the rapid development of computer technology, the application of database is very extensive, in-depth to various fields, but with the resulting data security problems. The security of large amount of data in the database of various application systems, the problem of stealing and tamper-proof of sensitive data are paid more and more attention by people. The database system as the information gathers the collective, is the computer Information System core component, its security is vital, relates to the enterprise rise and fall, success or failure. Therefore, how to effectively ensure the security of the database system to achieve data confidentiality, integrity and effectiveness, has become the industry to explore ...

The successful way of Internet Entrepreneurship (VI.): Spreading effect statistics and analysis

Intermediary transaction SEO diagnosis Taobao guest Cloud host technology lobby Internet is a big topic, but for the site, how low-cost and effective marketing to promote, so that users can be familiar with the site as soon as possible, is the key after the establishment of the station. First, the preparation of the website before the second, the energy of a huge word of mouth promotion three, new Web site traffic promotion Strategy Four, the net picks the platform to promote the website to promote the network to spread the website six, the advertisement promotion propaganda effect fast above content detailed information to "the Internet ...

Data and image analysis Fusion experts use analysis software to monitor endangered wildlife

In the big data age today, talking about the concrete application of data analysis, up to the search for MH370, to explore the Dongguan-style service industry chain, even representatives of the two councils began to put forward the application of large data, data analysis is really not ubiquitous. But this time, I am afraid that most people do not think of the field-the protection of endangered wildlife. In the past impression, the animal protection work generally is the staff carries each kind of detection instrument, lies in the grass or the shade, observes the wild animal far to speculate its survival status, but this seems has nothing to do with the information technology. So, ...

Data and image analysis Fusion experts use analysis software to monitor endangered wildlife

In the big data age today, talking about the concrete application of data analysis, up to the search for MH370, to explore the Dongguan-style service industry chain, even representatives of the two councils began to put forward the application of large data, data analysis is really not ubiquitous. But this time, I am afraid that most people do not think of the field-the protection of endangered wildlife. In the past impression, the animal protection work generally is the staff carries each kind of detection instrument, lies in the grass or the shade, observes the wild animal far to speculate its survival status, but this seems has nothing to do with the information technology. So, ...

SQL Server Database Optimization

Designing 1 applications doesn't seem to be difficult, but it's not easy to achieve the optimal performance of the system. There are many choices in development tools, database design, application structure, query design, interface selection, and so on, depending on the specific application requirements and the skills of the development team. This article takes SQL Server as an example, discusses the application performance optimization techniques from the perspective of the background database, and gives some useful suggestions. 1 database design to achieve optimal performance in a good SQL Server scenario, the key is to have 1 ...

Data analysis platform architecture under large data

With the development of the Internet, mobile Internet and IoT, no one can deny that we have actually ushered in a massive data era, data research company IDC expects 2011 total data will reach 1.8 trillion GB, the analysis of these massive data has become a very important and urgent demand. As an Internet data analysis company, we are "revolt" in the field of analysis of massive data. Over the years, with stringent business requirements and data pressures, we've tried almost every possible big data analysis method, and finally landed on the Hadoop platform ...

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