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I would recommend familiarity with streaming architectures, which provide asymptotically better memory usage than the traditional store-and-forward model used in most J2EE and .NET applications. This is especially important if you will be sending large datasets to clients. These two articles outline streaming architecture, including both theory and practical implementations with performance results and analysis.

Another point: for enterprise applications, it generally pays off better to focus on tuning the database tier, in my experience. If that's true in your case, understanding SQL optimizations, lock optimizations, and the various types of table indexes (e.g. clustering indexes) would be your best option.

I would recommend familiarity with streaming architectures, which provide asymptotically better memory usage than the traditional store-and-forward model used in most J2EE and .NET applications. This is especially important if you will be sending large datasets to clients. These two articles outline streaming architecture, including both theory and practical implementations with performance results and analysis.

Another point: for enterprise applications, it generally pays off better to focus on tuning the database tier, in my experience. If that's true in your case, understanding SQL optimizations, lock optimizations, and the various types of table indexes (e.g. clustering indexes) would be your best option.

For those trying to decide whether to choose the swing toolkit or the eclipse RCP for your next development project, the following may be useful: http://www.ahmadsoft.org/articles/swingswt/swingsw t.html

.... let me post two opposing sides of the swing vs swt debate:

Swt is crap

and

Swing is crap