Weka for HPDA Improves Wall Clock Time

High Performance Data Analytics (HPDA) workloads are now applying predictive financial models for deeper insights, and success is measured by the fast execution of algorithmic and deep learning model results. Weka is used by leading quantitative trading companies who are constantly seeking out new advanced technologies to gain a competitive advantage and improve trading outcomes. Financial analytics requires a modern storage architecture that can handle the most demanding I/O intensive workloads and latency-sensitive applications at petascale. Weka has demonstrated record-breaking performance on STAC M3 benchmarks using kdb+ time-series database.