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Real time data programming

http://www.technologyreview.com/computing/26783/?p1=A3

massive amount of real-time information available is leading to new programming approaches…many websites now offer a stream of data in near real time. Such streams offers new possibilities to developers. A company called Kynetx has developed a programming language, called the Kynetx Rule Language (KRL), to provide more sophisticated ways of using this data…KRL can help developers make more of a Web stream. Using an API usually involves writing a program to go and fetch data as needed. But Windley argues that it can be far more useful to track data more or less constantly. “To interact with Web streams, you need a different way to think about programming,”… Windley was inspired to develop KRL by database software that can handle floods of real-time information, such the software that responds rapidly to data from financial markets…KRL allows a programmer to write rules that react when data is spotted in a feed of data. For example, a KRL program might be designed to check real-time data on product prices when a person enters a store, as revealed by a geolocation data feed…KRL makes it simple for a programmer to write applications that make use of data from many different Web services…otes that KRL assumes that the data it is fed will change, and can adapt accordingly. He says this will provide important new ways to think about connecting different websites. For example, he says, sufficiently intelligent interfaces might be able to guess at what a user is trying to do and suggest other complementary Web services to connect to…Other companies are building technology to handle the data spewed out by modern Web application interfaces. Gnip, based in Boulder, Colorado, connects to a variety of services, including Twitter, Facebook, and YouTube, and repackages data and functions from these services to make it simpler to use for other companies…few developers or companies are set up to handle the torrent of data many Web services provide—they don’t have the bandwidth, storage, or real-time processing power. He agrees that new approaches are needed to handle these kinds of feeds. Gnip recently started selling access to filtered portions of Twitter’s real-time stream. Valeski says programmers can apply their own rules in turn to further refine the data and how it is handled. Better tools for handling this kind of data will be part of the next wave of big change on the Web, he predicts…

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