Oreilly

.NET 3.5 will help you create better Windows applications, build Web Services that are more powerful, implement new Workflow projects and dramatically enhance the user's experience. But it does so with what appears to be a collection of disparate technologies. In Programming .NET 3.5, bestselling author Jesse Liberty and industry expert Alex Horovitz uncover the common threads that unite the .NET 3.5 technologies, so you can benefit from the best practices and architectural patterns baked into this newest generation of Microsoft frameworks. While single-topic .NET 3.5 books delve into Windows Presentation Foundation and the other frameworks in greater detail, Programming .NET 3.5 offers a "Grand Tour" of the release that describes how the four principal technologies can be used together, with Ajax, to build modern n-tier and service-oriented applications. Developers have struggled to implement these patterns with previous versions of the .NET Framework, but this hands-on guide uses real-world examples and fully annotated source code to demonstrate how .NET 3.5 can make it easy.

JavaScript is everywhere: from websites and mobile apps to desktop apps, games, databases, and new cloud technologies. People who attended O’Reilly’s recent Fluent Conference explored every permutation of this powerful, full-stack programming language—and now you can tune into every workshop, session, and keynote with this complete video compilation.

In this User Research Fundamentals for Designers training course, expert author Christine Perfetti will teach you practical methods and techniques for gathering user feedback and conducting your own user research projects.

Currently one of the hottest projects across the Hadoop ecosystem, Apache Kafka is a distributed, real-time data system that functions in a manner similar to a pub/sub messaging service, but with better throughput, built-in partitioning, replication, and fault tolerance. In this video course, host Gwen Shapira from Cloudera shows developers and administrators how to integrate Kafka into a data processing pipeline.