SAS DataFlux Event Stream Processing Engine incorporates relational, procedural and pattern-matching analysis of structured and unstructured data
Business analytics software and services firm SAS has unveiled a new software which can help enterprises analyse streaming big data to offer immediate insight from real-time data to help in reducing time to decision.
The new SAS software claimed to analyses data as it is received, is a form of complex event processing (CEP) technology preferred for critical data management and analytic applications.
SAS DataFlux Event Stream Processing Engine, part of the SAS Information Management portfolio, incorporates relational, procedural and pattern-matching analysis of structured and unstructured data.
The engine merges large data sets for risk analysis with continuous data integration of internal and external streams. It also supports grid-based distributed processing for large-scale deployments, the company said.
In addition, SAS DataFlux Event Stream Processing Engine will integrate with the new version of SAS High-Performance Risk, providing in-memory valuations of large portfolios of complex financial instruments for market, credit and liquidity risk.
The combination of SAS DataFlux Event Stream Processing Engine and SAS High-Performance Risk will enable global capital markets and trading groups can analyse consolidated risk exposure across all portfolios and counterparties.
SAS' new software lets enterprises make critical decisions in time to be effective and its efficient, scalable architecture offers enhanced throughput and supports hot fail-over.