Weka for HPDA Improves Data Insights

High Performance Data Analytics (HPDA) workloads are now applying predictive models for deeper insights, and success is measured by the fast execution of algorithmic and deep learning model results. HPDA is at the intersection of high performance computing (HPC), traditional business analytics and artificial intelligence (AI). Critical applications, from fraud and anomaly detection, affinity marketing and business intelligence, are leveraging HPC technologies to gain competitive advantage. Weka is used by leading companies who are constantly seeking out new advanced technologies to gain a competitive advantage and improve business outcomes. HPDA requires a modern storage architecture that can handle the most demanding I/O intensive workloads and latency-sensitive applications at Petascale.

 

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As a trusted advisor to our clients, we always look for new methods and technologies to help our clients do their analytics work. Destiny chose to partner with Weka because we like the disruptive capabilities of this technology that elegantly solve our clients’ problems with no change needed to SAS code.

Dana Rafiee, Director of Worldwide Strategic Consulting, Destiny Corporation
6 Reasons to Deploy Weka in Your SAS Analytics Environment
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Delivers 5x Improvement in Wall Clock Time for Long Running Projects

Breakthrough Economics

Runs 10x More Workloads with the Same SAS Licensing. Eliminates Racks of Server Infrastructure.

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Best TCO Leveraging a Hybrid Storage Platform with NVME for Performance, and HDD for Capacity

Cloud Bursting

Enables Elastic Public Cloud for Peak Compute Demands

Exscale Capacity

Best Scalability, Up to Exabytes of Storage and Billions of Files in a Single Directory

Global Namespace

Single Global Namespace for Your Entire Dataset, no More Need for Multiple Data Copies

SAS Analytics Solutions Brief
Solution Brief

SAS Analytics Solutions Brief

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10 Reasons to Deploy WekaFS Parallel File System
Solution Brief

10 Reasons to Deploy WekaFS Parallel File System

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Webinar: Finding the Right File System for AI and ML Workloads
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Webinar: Finding the Right File System for AI and ML Workloads

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