R Framework

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 ...

With large data being adopted by more enterprises, the compilation and production language of data processing and analysis algorithms have been widely concerned. and unknowingly, open source statistics language R has become a basic technology for large data scientists and developers. 　　In all programming languages and techniques, popularity has soared. The following is the translation through the integration with the large data processing tools, R provides the depth statistical capability of large datasets, including statistical analysis and data-driven visualization. In industries such as finance, pharmaceuticals, media, and sales, which can directly take decisions from data, R has been applied in depth. ...

Why let Hadoop combine R language? R language and Hadoop let us realize that both technologies are powerful in their respective fields. Many http://www.aliyun.com/zixun/aggregation/7155.html "> developers will ask the following 2 questions at the computer's perspective. 　　The problem 1:hadoop family is so powerful, why do you want to combine R language? Problem 2:mahout can also do data mining and machine learning, ...

Introduction: It is well known that R is unparalleled in solving statistical problems. But R is slow at data speeds up to 2G, creating a solution that runs distributed algorithms in conjunction with Hadoop, but is there a team that uses solutions like python + Hadoop? R Such origins in the statistical computer package and Hadoop combination will not be a problem? The answer from the king of Frank: Because they do not understand the characteristics of R and Hadoop application scenarios, just ...

In the OSGi v4.2 specification, the unified standard of remote invocation is defined, which further deepens the modular idea. As one of these implementations, R-OSGI provides a Service-oriented remote invocation component that allows us to easily implement the invocation of two OSGi Service in different geographies. This paper introduces the implementation of traditional OSGi application and R-osgi, and expounds the implementation of R-OSGI for OSGi specification. Then through a simple function to achieve by the shallow into ...

The R method is used to invoke the operation method of a controller, and is further enhanced and supplemented by a method. Call format of the R method: R (' [Project://][grouping/] Module/operation ', ' parameter ', ' Controller layer name ') For example, we define an action method: Class&http://www.aliyun.com/zixun/aggregation/37954.html ">nbsp; Useraction extends  ...

Having just announced the easing of computing and memory limitations, Teradata promptly announced the acquisition of R-language analytics capabilities from Aster and announced the acquisition of Revelytix and Hadapt by Teradata Labs. The former focuses primarily on data management on Hadoop, while Hadapt is a focused SQL-on-Hadoop company. Clearly, Teradata is accelerating its efforts to build a unified data architecture. Construct a unified data structure In fact, structured data and unstructured data through traditional SQL analysis and ...

Translation: Esri Lucas The first paper on the Spark framework published by Matei, from the University of California, AMP Lab, is limited to my English proficiency, so there must be a lot of mistakes in translation, please find the wrong direct contact with me, thanks. (in parentheses, the italic part is my own interpretation) Summary: MapReduce and its various variants, conducted on a commercial cluster on a large scale ...

MapReduce is a programming model for parallel computing of large-scale data sets (greater than 1TB) to solve the computational problems of massive data.

The Treefrog framework is a c++++http://www.aliyun.com/zixun/aggregation/13435.html "> Development framework for high-speed and full stack Web applications." It provides a template system for the O/R image System and MVC architecture, with the goal of achieving efficient configuration. Treefrog Framework 0.83 options for this version deletion and display of tables have been added to Tsapwn ...