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 Lucene in Action, Second Edition: Covers Apache Lucene 3.0
When Lucene first hit the scene five years ago, it was nothing short of amazing. By using this open-source, highly scalable, super-fast search engine, developers could integrate search into applications quickly and efficiently. A lot has changed since then-search has grown from a "nice-to-have" feature into an indispensable... |  |  AdvancED Flex 4
AdvancED Flex 4 makes advanced Flex 4 concepts and techniques easy. Ajax, RIA, Web 2.0, mashups, mobile applications, the most sophisticated web tools, and the coolest interactive web applications are all covered with practical, visually oriented recipes.
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Completely updated for the new tools in Flex 4
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|  |  Catalyst 5.8: the Perl MVC Framework
Many web applications are implemented in a way that makes developing them difficult and repetitive. Catalyst is an open source Perl-based Model-View-Controller framework that aims to solve this problem by reorganizing your web application to design and implement it in a natural, maintainable, and testable manner, making web development fun,... |
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 Service Oriented Architecture: An Integration Blueprint
Successfully implement your own enterprise integration architecture using the Trivadis Integration Architecture Blueprint
Overview of Service Oriented Architecture: An Integration Blueprint
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Discover and understand the structure of existing application landscapes from an integration perspective
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|  |  JavaScript Cookbook (Oreilly Cookbooks)
Why reinvent the wheel every time you run into a problem with JavaScript? This cookbook is chock-full of code recipes that address common programming tasks, as well as techniques for building web apps that work in any browser. Just copy and paste the code samples into your project -- you’ll get the job done faster and learn... |  |  Data-Intensive Text Processing with MapReduce
Our world is being revolutionized by data-driven methods: access to large amounts of data has generated new insights and opened exciting new opportunities in commerce, science, and computing applications. Processing the enormous quantities of data necessary for these advances requires large clusters, making distributed computing paradigms... |
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