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In the spirit of tonight's first NFL game of the season, I decided to put together an example that integrates feeds from NFL.com and brings it directly to your desktop. This is a basic example that demonstrates how to use Flash Builder's data wizards to consume
data from a public rss feed as a HTTPService.
Here's a quick tip for working with real time data in Flex applications (in particular Blaze Data Services and LiveCycle Data Services). LCDS isn't new by any means, but not everyone uses it on a daily basis. Here are a few ways that you can push real-time data between the server and client applications.
In my last "Flex 101" post, we reviewed the basics of consuming data through a web service. This time around, we are going to review the basics of loading a simple RSS XML feed and displaying the results in a Flex List component.
If you have ever worked with LiveCycle Data Services or BlazeDS in a data-broadcast (data-push) scenario, there's no doubt know about using Consumer objects to receive streams of data. When messages are received,
MessageEvent.MESSAGE events are dispatched, and your application can respond to the incoming data as it is received.
After months of writing just about every night, Data Driven Services with Silverlight 2 is now available. I targeted this book to be different than other Silverlight books on the market, focusing more on data, networking, and other features needed to make a RIA application work for data driven situations.
With LiveCycle Data Services ES 2.6 ("LCDS"), Adobe has added native caching for AIR and the Flash Player. This is an amazing advancement due to the small amount of code required to complete offline synchronization compared to a custom solution. The goal of this article is to provide a start to finish guide to building an AIR application with offline data synchronization from LCDS. I am a tactile learner and I like to write and present this way so instead of chatting...let's code!
Everyone wants their Flex application to perform well. We each want ours to be fast, with minimal wait times, and want it to run as seamlessly as possible. Well, one of the most important factors in getting this kind of response is the structure of your data model, and the results of your data services.
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