SSR: Structured Streaming on R for Machine Learning

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Stepping beyond ETL in batches, large enterprises are looking at ways to generate more up-to-date insights. As we step into the age of Continuous Application, this session will explore the ever more popular Structure Streaming API in Apache Spark, its application to R, and building examples of machine learning use cases. Starting with an introduction to the high-level concepts, the session will dive into the core of the execution plan internals and examine how SparkR extends the existing system to add the streaming capability. Learn how to build various data science applications on data streams integrating with R packages to leverage the rich R ecosystem of 10k+ packages. Session hashtag: #SFdev2



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About Felix Cheung

Felix is the VP of Engineering at SafeGraph, bringing over 20 years of engineering and 7 years of data experience. He led teams in Uber's Data Platform and was pivotal in rebuilding their open-source program. Previously he spent time at Microsoft and startups. Felix is a strong proponent of open-source; as a Member of the Apache Software Foundation, he works on Apache Spark (data), Apache Zeppelin (notebook), and also helps mentor 6 projects in the Apache Incubator, including geospatial project Apache Sedona, and leading Apache Superset (visualization) to graduate.