Presented By O’Reilly and Cloudera
Make Data Work
March 5–6, 2018: Training
March 6–8, 2018: Tutorials & Conference
San Jose, CA
Ram Sriharsha

Ram Sriharsha
Product Manager, Apache Spark, Databricks

@halfabrane

Ram Sriharsha is the product manager for Apache Spark at Databricks and an Apache Spark committer and PMC member. Previously, Ram was architect of Spark and data science at Hortonworks and principal research scientist at Yahoo Labs, where he worked on scalable machine learning and data science. He holds a PhD in theoretical physics from the University of Maryland and a BTech in electronics from the Indian Institute of Technology, Madras.

Sessions

1:50pm–2:30pm Thursday, March 8, 2018
Magellan: Scalable and fast geospatial analytics
Big data and data science in the cloud, Data science and machine learning
 Location: LL20 A
Ram Sriharsha (Databricks)
Average rating: ****.
(4.75, 4 ratings)
How do you scale geospatial analytics on big data? And while you're at it, can you make it easy to use while achieving state-of-the-art performance on a single node? Ram Sriharsha offers an overview of Magellan—a geospatial optimization engine that seamlessly integrates with Spark—and explains how it provides scalability and performance without sacrificing simplicity. Read more.