Prime Dimensions' future state event-driven architecture (EDA) effectively integrates relational, non-relational and stream data structures to create a unified analytics environment. EDA describes an architecture where layers are partitioned and decoupled from each other to allow better or easier composition, asynchronous performance characteristics, loose coupling of APIs and dependencies and easier profiling and monitoring. Its goal is a highly reliable design that allows different parts of the system to fail independently and still allow eventual consistency.
EDA also enables discovery, or exploratory, analytics, which rely on low-latency continuous batch processing techniques and high frequency querying on large, dynamic datasets. This type of architecture requires a different class of tools and system interfaces to promote a looser coupling of applications to streamline data access, integration, exploration, and analysis. It is also designed to deploy real-time Web applications using NoSQL databases, RESTful interfaces and advanced platforms that maximize throughput and efficiency by providing evented, asynchronous I/O and guaranteed, non-blocking libraries, thereby sharing code between the browser and server, effectively eliminating the Web server layer.