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Monday, March 6 • 3:30pm - 4:00pm
Developing and Deploying Models at Scale — without Spark!

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Looking for a break after an endless stream of talks about Spark? We'll do a live demo of developing and deploying a predictive model using an easy-to-use, Spark-less platform. We'll show how standard cloud compute resources let you train models using terabytes of RAM, and we'll demo deploying a model and serving requests at web scale, with horizontal scalability and high availability. Benefits of the approach we'll demonstrate include: (a) flexibility to use arbitrary R and Python development without shoehorning work into Spark; (b) simpler infrastructure management by avoiding distributed computing; (c) better performance for problems that are merely "medium data" rather than legitimately "big" data.

Speakers
avatar for Eduardo Ariño de la Rubia

Eduardo Ariño de la Rubia

Chief Data Scientist in Residence, Domino Data Lab
Eduardo Arino de la Rubia is Chief Data Scientist at Domino Data Lab. Eduardo is a lifelong technologist with a passion for data science who thrives on effectively communicating data-driven insights throughout an organization. He is a graduate of the MTSU Computer Science department, General Assembly’s Data Science program, and the Johns Hopkins Coursera Data Science specialization. Eduardo is currently pursuing a master’s degree in... Read More →


Monday March 6, 2017 3:30pm - 4:00pm
Pearl

Attendees (7)