IBM Analytics Webinar

Using Open Source to Accelerate Federal Decision Support

Analysts rely on big data to expedite and improve situational awareness and mission success via recommender engines, decision support, or predictive analytics. Latency issues, like the duration in time to reach a decision from the availability of source data, is a constant challenge. The longer the time lapse, the less effective the decision will be at the final outcome.

Latency bottlenecks, attributed to everything from intricate computations (i.e., statistical algorithms and machine learning) to MapReduce, are great for large batch jobs, however, this is not the case for varied and complex enterprise workloads. Spark, an open source engine, is the game changer that will help your organization increase the performance of Hadoop, reaching speeds of up to 100 times faster than Hadoop MapReduce in-memory, or 10 times faster on a disk.

Join us for an informative webinar where IBM will discuss their commitment to Spark and the practical application of this solution's transformational performance to increase decision quality, reduce latency, and improve mission outcomes.

Can't attend? Click here to sign up to receive access to the archived recording.

Sincerely,

Bailey Hamilton
IBM Government at
ESVA Inc.
703-673-9028 (Direct)
877-378-2462 (Toll-Free)
[email protected] 
www.esvainc.com/ibm