Avtandil Garakanidze

One of the main concerns among IT architects planning an implementation of an enterprise data virtualization layer in their service-oriented architecture (SOA) or overall information system is the performance of the participating data services. Performance becomes particularly important in real- or near-real-time environments as well as in environments with highly distributed data sources where network latency cannot be controlled. This article examines how to reduce potential performance bottlenecks by utilizing high-performance caching with data virtualization middleware. Different scenarios within single-, cluster- and distributed-caching implementations are covered. Introduction A data virtualization implementation normally includes a wide variety of data sources, both relational and non-relational, often distributed across several business units, and sometimes... (more)