Complex Data

The Talend Open Studio for ESB is a versatile and flexible http://www.aliyun.com/zixun/aggregation/7921.html "> Enterprise Service Bus (ESB), Provides event-driven and document-oriented processing patterns, as well as distributed operation management mechanisms. It supports content-based routing and filtering, has the ability to transmit complex data, and can provide a range of standard interfaces. by Apache CXF, Apach ...

Scilab is a numerical computation software similar to MATLAB or Simulink. Scilab includes hundreds of mathematical functions that enable you to add programs interactively from multiple languages, such as C or http://www.aliyun.com/zixun/aggregation/29818.html ">fortran." It has complex data structures (including lists, polynomials, rational functions, linear systems), an interpreter, and a high-level programming language. Scilab is ...

Large data and seismic social services Weidong Zhang Yijun Zhaojuiru Chen Huizhong earthquake Operations, the number of data is increasing, no matter what technology we adopt, we are deeply concerned that we are currently encountering the largest and most complex data sets encountered since Seismology and may present new challenges to our traditional systems for seismic data analysis.  What is the big data, how to apply large data technology to solve and deal with the problems in the earthquake business, it is worth our deep thinking and discussion. Large data and earthquake social services

In the current market, the value of large data has been extended to countless times. Enterprises can understand real-time information and make decisions through large data, on the other hand, the data of diversification and instantaneous change also presents a great challenge to the optimization work. FICO company released the latest version of the Fico Xpress Optimization Kit. This development and optimization software is an effective solution to large and complex data problems to help organizations make the best business decisions. FICO Xpress Optimization Kit version 7.5 is FICO Decision Platform (decision ...

With the start of Apache Hadoop, the primary issue facing the growth of cloud customers is how to choose the right hardware for their new Hadoop cluster. Although Hadoop is designed to run on industry-standard hardware, it is as easy to come up with an ideal cluster configuration that does not want to provide a list of hardware specifications. Choosing the hardware to provide the best balance of performance and economy for a given load is the need to test and verify its effectiveness. (For example, IO dense ...

The Hadoop system runs on a compute cluster of commodity business servers that provide large-scale parallel computing resources while providing large-scale distributed data storage resources. On the big data processing software system, with the open-source development of the Apache Hadoop system, based on the original basic subsystem including HDFS, MapReduce and HBase, the Hadoop platform has evolved into a complete large-scale Data Processing Ecosystem. Figure 1-15 shows the Ha ...

Validate.args is a LUA module that provides a framework validation of the parameters of a LUA function. It can also be used to validate complex data structures. Validate.args 1.5.4 This is a brown-paper-bag release. The 1.5.3 contains debug code that causes a running failure. About Lua Lua is a small scripting language. Is the Catholic University of Rio de Janeiro, Brazil (Pontifical Catholic University of Rio D ...

The Talend Open Studio for ESB is a versatile and flexible http://www.aliyun.com/zixun/aggregation/7921.html "> Enterprise Service Bus (ESB), Provides event-driven and document-oriented processing patterns, as well as distributed operation management mechanisms. It supports content-based routing and filtering, has the ability to transmit complex data, and can provide a range of standard interfaces. by Apache CXF, Apache ...

MongoDB is a database based on distributed file storage. Written by the C + + language. Designed to provide scalable, high-performance data storage solutions for Web applications. Products between relational and non relational databases are among the most functionally rich and most like relational databases in relational databases. The data structure he supports is very loose and is a JSON-like Bjson format, so you can store more complex data types. MONGO the most characteristic is that he supports the query language is very powerful, its syntax is somewhat similar to the object-oriented query language, can almost actually ...

Application of large data technology in housing information system Chen Dachuan Zhang Baoshan expounds How to use mature technology to construct large database in the process of building the housing information system, to ensure the operation of the system such as housing monitoring and analysis, Housing Provident Fund Supervision and housing security supervision. This paper expounds the innovative Integrated relational database technology and large data technology, and constructs a set of technical solutions for the housing information system which adapts to a wide range of geographical distribution, complex data environment and small impact on production system. Keywords large data; Housing information supervision; application of large data technology in information system in housing information system

MapReduce is a high-performance batch processing distributed computing framework for parallel analysis and processing of massive data. Compared with traditional data warehousing and analysis techniques, MapReduce is suitable for dealing with various types of data, including structured, semi-structured, and unstructured data. The data is at terabytes and PB levels, and at this level, traditional methods are often unable to process data. MapReduce divides the analysis task into two categories: a large number of parallel Map tasks and a Reduce rollup task. Map task runs in multiple suits ...

Data is the most important asset of an enterprise. The mining of data value has always been the source of innovation of enterprise application, technology, architecture and service. After ten years of technical development, the core data processing of the enterprise is divided into two modules: the relational database (RDBMS), mainly used to solve the transaction transaction problem; Based on analytical Data Warehouse, mainly solves the problem of data integration analysis, and when it is necessary to analyze several TB or more than 10 TB data, Most enterprises use MPP database architecture. This is appropriate in the traditional field of application. But in recent years, with the internet ...

Many years ago, the industry was discussing a topic: How to deal with massive data? In particular, some need to store a large number of user data industry, finance, telecommunications, insurance and other popular industries. Users are likely to generate large amounts of data almost every hour of the day, and storage devices in these industries have to be meticulously documented. 　　With the rapid increase of data volume, many industry users began to find ways to change the "number" for the treasure, from the massive data mining valuable information. If only a large number of structural data, then the solution to the comparison of the single, the user through the purchase ...

Large data, the entry coincides with its time, in recent years, large data is not a fire, especially in 2017, the development of large data industry was written into the government's work report, large data began not only in the enterprise strategy, but also began to appear in the government's planning, can be said to be the darling of the 1, the importance of large data in recent years, with the development of science and technology, the rapid progress of computer technology, large data and intelligent operational dimension is becoming more and more important. On the big side, big data will play an important role in promoting China's economic transformation: first, through the analysis of large data can help solve China ...