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After 9 years and several significant releases, Spring has gone a long way from challenging the then-current Java standards to becoming the de facto enterprise standard itself. Although the Spring programming model continues to evolve, it still maintains backward compatibility with many of its earlier features and paradigms. Consequently, there's often more than one way to do anything in Spring. How do you know which way is the right way?

In this session, we'll explore several ways that Spring has changed over the years and look at the best approaches when working with the latest versions of Spring.

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For a long while, we've built applications pretty much the same way. Regardless of the frameworks (or even languages and platforms) employed, we've packaged up our web application, deployed it to a server somewhere, and asked our users to point their web browser at it.

But now we're seeing a shift in not only how applications are deployed, but also in how they're consumed. The cost and hassle of setting up dedicated servers is driving more applications into the cloud. Meanwhile, our users are on-the-go more than ever, consuming applications from their mobile devices more often than a traditional desktop browser. And even the desktop user is expecting a more interactive experience than is offered by simple page-based HTML sites.

With this shift comes new programming models and frameworks. It also involves a shift in how we think about our application design. Standing up a simple HTML-based application is no longer good enough.

In this session, we'll discuss what the next generation of applications looks like, exploring such things as the mobile web and cloud computing. We'll also dig into some of the technologies and practices such as REST, OAuth, and JavaScript microframeworks that enable us to move forward.

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This session starts with a high-level look at all that the Spring Data project has to offer. Then we'll dive deeper into a few select Spring Data modules, including Spring Data Neo4j, Spring Data MongoDB, Spring Data Redis, Spring Data JPA, and Spring Data JDBC Extensions

In recent years, there has been a renewed interest in how data is stored. Although RDBMS has long been treated as a one-size-fits-all solution for data storage, a new breed of datastores has arrived to offer a best-fit solution. Key-value stores, column stores, document stores, graph databases, as well as the traditional relational database are options to consider.

With these new data storage options come new and different ways of interacting with data. Even though all of these data storage options offer Java APIs, they are widely different from each other and the learning curve can be quite steep. Even if you understand the concepts and benefits of each database type, there's still the huge barrier of understanding how to work with each database's individual API.

Spring Data is a project that makes it easier to build Spring-powered applications that use new data, offering a reasonably consistent programming model regardless of which type of database you choose. In addition to supporting the new "NoSQL" databases such as document and graph databases, Spring Data also greatly simplifies working with RDBMS-oriented datastores using JPA.

In this session, we'll start with the basics of Spring MVC development, focusing on how to leverage the new annotation-driven model. With that foundation set, we'll continue by exploring the new features in Spring 3.0 and 3.1 to build RESTful web applications that can serve both human-facing content as well as resources that are consumed by machine clients.

From the very beginning, Spring has included Spring MVC, a web framework built around the Spring Framework. Originally based on a rich hierarchy of controller classes, Spring MVC served developers well, but began to look a little long in the tooth compared to other web frameworks.

Starting with Spring 2.5, Spring MVC took a major evolutionary step, breaking away from the rigid controller class hierarchy model to embrace a more flexible annotation-driven model. Often referred to as Spring @MVC, this new model has continued to improve with Spring 3.0 and Spring 3.1.

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In this session, I'll show you how to secure your Spring application with Spring Security 3.0. You'll see hot to declare both request-oriented and method-oriented security constraints. And you'll see how SpEL can make simple work of expressing complex security rules.

Although we may invite guests into our homes and give someone a ride in our car, we locks and alarms on our homes and our cars to keep uninvited and malicious visitors out. Similarly, we allow people to use the applications that we develop, but we probably want to control the access that they have.

Security is an important aspect of any application. And while we could program security rules into the web controllers and methods in our application, we'd find ourselves cluttering our business logic with repetitive security code. Security is a cross-cutting concern--begging to be handled with aspect-oriented techniques.

Spring Security is an authentication and access-control framework based on Spring that provides security aspects. With Spring Security, you can declare who is allowed to access your application and what they're allowed to see, keeping your application logic focused and uncluttered with security details.