In this session, we will discuss DataGrid usage and integration patterns that go beyond the typical Cache#put and Cache#get. Attendees will share their own experiences and we will discuss: • How DataGrid can be used with ESB to provide a reliable and fault tolerant SEDA implementation (based on Mule); • How a DataGrid can be used to execute dynamic jobs ala MapReduce using scripting languages; • How a DataGrid can be used to scale Lucene index storage, as well as use Compass to index the DataGrid.

1. Beyond a Data Grid Shay Banon System Architect GigaSpaces Technologies http://www.kimchy.org

4. Typical Tier Based Architecture

5. Collocated and Partitioned Architecture

7. Typical Mule Workflow

8. Enhanced Mule Workflow

9. The Data Grid As a Search Index Storage

10. Write Behind POJO Indexing

11. Distributed POJO Indexing & Search

12. Traditional Remoting

13. IMDG As A Remoting Backbone (Direct)

14. IMDG As A Remoting Backbone (Parallel)

15. Q & A