What Is Data Driven Programming

This series of articles shows you how to use reverse Ajax http://www.aliyun.com/zixun/aggregation/7332.html "> Technology to develop event-driven WEB programs." The 1th part describes reverse Ajax, polling, streaming, Comet, and long polling. Part 2nd describes how to use WebSocket and discusses the limitations of WEB servers that use Comet and WebSocket. The first ...

The data again "big" no useful is equal to zero, to collect "slow data" "Live data" on the internet every moment in the production of data, people's lives everywhere in the various devices, such as computers, mobile phones, smart appliances, sensors and so on, can always leave traces of human behavior, real-time data generation, These increased geometric levels of data deposition on the Web, become large data. These large numbers of data again "big" no useful is equal to zero, to collect "slow data" "Live data ...

Innovative report from the dean of top research institutes when all our actions and our lives can be "data", the company that holds the data is like owning a rich gold mountain. 　　As Victor Maire-Schoenberg says, the big data age is "the future that has happened," and in this already-occurring future, there is no bystander. December 19, 2013, by the boutique media "digital Business Times" sponsored by the "Great data creation of the era of Subversion" 2013 China Summit Forum in Beijing to make a grand Holiday Crowne Plaza Hotel ...

Integration strategy Data integration refers to the combination of data from different systems for business users to study different industry behavior and customer behavior data processing methods. In the early days of data integration, data was limited to trading systems and their applications.   The development of business decision is guided by the decision platform, and the limited dataset provides the foundation of creating the decision platform. Data capacity and data types have grown dramatically over the past 30 years, with data warehousing technology from scratch, and infrastructure and technology to meet analysis and data storage requirements. All this has revolutionized the prospects for data integration. ...

In the internet age, large data is hot, many people must pro data, but can really say that the big data is not much, not to mention how to use large data to dig out the great business value. 　　How do you define large data? What are the characteristics of large data? This paper aims to clarify the concept of large data, illustrate the application of large data and explore the future development of large data. 　　Q1: Is big Data a commercial hype? The industry's definition of large data is 4 "V": Large volume (Volume), multiple species (produced), fast (velocity) ...

Integration strategy Data integration refers to the combination of data from different systems for business users to study different industry behavior and customer behavior data processing methods. In the early days of data integration, data was limited to trading systems and their applications.   The development of business decision is guided by the decision platform, and the limited dataset provides the foundation of creating the decision platform. Data capacity and data types have grown dramatically over the past 30 years, with data warehousing technology from scratch, and infrastructure and technology to meet analysis and data storage requirements. All this has revolutionized the prospects for data integration. ...

The world-wide information revolution has caused almost every industry to face big data problems. In order to effectively deal with the all-round challenges brought about by large data and make full use of this unprecedented opportunity, the industry, the scientific and technological circles at home and abroad and even governments are actively planning and formulating strategic plans. March 2012, the United States government announced a 200 million dollar "big data Research and development plan", the study of large data to rise to the national will. The European Union has also introduced similar initiatives. In this context, the Chinese Computer Society in October 2012 set up the CCF large data committee of experts, ...

Meng question: Q: I know what is the data, but what is the big data? A: Have you Seen "Sherlock Holmes"? Sherlock Holmes was always able to draw accurate conclusions by observation, and in others ' eyes he was as capable of prophecy as God. In fact, he was merely combining and analyzing the observed information and drawing conclusions through reasonable deductive reasoning. For example, he will analyze the victim's nails that greasy hair silk is the life habits of people, and the soles of the mud in the cracks in the surrounding areas will have. In the age of large data, everyone can be a fulcrum ...

In any case, the situation in 2012 seems to be the best year for cloud computing. In the past year, in addition to becoming the focus of almost all the media, cloud computing has seen tremendous gains in the number and scope of its implementation. Although the prospects for the development of cloud computing are more optimistic, cloud computing is still largely a symbolic one in terms of suppliers' financial reports. Even if optimistic estimates, its market profit is only achieved less than 1% of the total. Cloud providers or potential providers are getting attention; then how should the service ...

Several articles in the series cover the deployment of Hadoop, distributed storage and computing systems, and Hadoop clusters, the Zookeeper cluster, and HBase distributed deployments. When the number of Hadoop clusters reaches 1000+, the cluster's own information will increase dramatically. Apache developed an open source data collection and analysis system, Chhuwa, to process Hadoop cluster data. Chukwa has several very attractive features: it has a clear architecture and is easy to deploy; it has a wide range of data types to be collected and is scalable; and ...