Real-Time Big Data Analytics with R
Speaker(s):
David Smith
Duration: 60 minutes
Track: Unlocking Big Data
Data-driven decision-making in today’s competitive climate means deploying statistical models into production environments. Every company that relies on predictive models to drive their applications and operations has a different process for model deployment. In this talk, I’ll draw on case studies from my work with data-driven companies to distil some best practices for creating and deploying real-time advanced analytics applications. I’ll give particular attention to the R programming language, which has emerged as the standard framework for building and deploying predictive models. I’ll also give some guidance for addressing some of the challenges that come with the conflict between “real time” and “big data” and offer some solutions for predictive modeling on data where it resides: in the database, or in Hadoop.