Country: United States of America
Position: Field CTO
Carolyn Duby is Principal Solutions Engineer and Lead Cybersecurity SME at Cloudera, where she helps customers worldwide turn their log event haystack into analytic gold. Previously, she was the architect for cybersecurity event correlation at Secureworks. A subject-matter expert in cybersecurity and data science, Carolyn hosts the Future of Data Meetup and enables other developers by speaking at conferences such as Strata Data Conference, Dataworks Summit, Open Data Science Conference and Day of Shecurity. Carolyn holds an ScB (magna cum laude) and ScM from Brown University, both in computer science. She’s a lifelong learner who completed the Johns Hopkins University Coursera data science specialization.
Real-time decision-making systems are improving customer experiences, preventing fraud and cyber attacks, optimizing business-critical functions and saving lives. In practice however, real-time decision-making systems present significant architectural challenges at scale. After this presentation you will be able to:
– Discuss real-time decision use cases and their business value.
– Define the stages of a real-time decision-making pipeline.
– Draw a scalable architecture to support the real-time decision-making pipeline.
– Describe the common challenges faced by such systems and how to address them.