In-Memory Data Grids: Not Your Mom's Cache
While many developers still think of in-memory data grids as clustered caches, in reality they are much more and provide a solid foundation for the next generation of scalable web and enterprise applications.
In this session we will briefly discuss standard caching features of in-memory data grids and quickly move on to some of the truly amazing and revolutionary features such as grid queries and aggregations, parallel and in-place processing, and real-time events.
About Aleksandar Seovic
Aleksandar Seović is founder and managing director at S4HC, Inc., where he leads professional services practice. He works with customers throughout the world to help them implement innovative solutions to complex business and technical problems.
Aleksandar lead the implementation of Oracle Coherence for .NET, a client library that allows applications written in any .NET language to access data and services provided by Oracle Coherence data grid. He was also one of the key people involved in the design and implementation of Portable Object Format (POF), a platform-independent object serialization format that allows seamless interoperability of Coherence-based Java, .NET and C++ applications.
Aleksandar is the author of Oracle Coherence 3.5 (Packt Publishing, 2010) and Oracle ACE Director for Fusion Middleware. He frequently speaks about and evangelizes Coherence at conferences, Java and .NET user group events, and Coherence SIGs.
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