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Explore the five-stage process of deploying statistical models into production environments with real-time processing requirements. Learn how to integrate R language, particularly Revolution R Enterprise, into real-time analytics deployment. Discover techniques for data distillation, model development, validation, deployment, refresh, and real-time scoring. Gain insights into integrating R with other technologies such as Hadoop, database warehousing systems, and end-user applications for effective big data analytics. Understand the common patterns emerging in companies relying on predictive models to drive their applications and operations.
Syllabus
Real-Time Big Data Analytics with R [AAT-204]
Taught by
PASS Data Community Summit