Inside Analysis

Big Data Performance At-Scale: A Recipe for Success

How do Fortune 100 companies optimize their big data applications? They gather metrics from more than 300 data sources every five seconds, then use machine learning to scan incredibly complex systems, across on-prem and cloud environments. The insights gleaned allow them to identify mission-critical issues in near-real-time, and then resolve them, sometimes automatically, to keep the big data trains running on time.

Register for this episode of The Briefing Room to hear Bloor Group CEO Eric Kavanagh explain why success with big data requires deep visibility into the wide array of scale-out technologies. He’ll be joined by Kirk Lewis of Pepperdata, who will discuss how his company’s platform collects tremendous amounts of data to accelerate root cause analysis. He’ll show how Pepperdata plays a crucial role for optimizing the use of big data for both analytics and operations.



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