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Exploratory Data Science at Scale

May 25

Free

Session Time and Date

Thursday, May 25th from 11am – 12pm CDT

 

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Presentation Description

Running Python, R and Scala at scale in the cloud allows you to work on the full dataset and has its own unique challenges. The cloud’s flexibility allows you to scale the engine proportionally to the dataset, so that query running times remain at comfortable levels. This increases your efficiency as a data scientist.

We’ll show what architecture changes are required for running in the cloud versus on-premises. We separate compute from storage and use Docker for easy scaling. We’ll also cover data import and export, cost optimization, common performance bottlenecks, and data protection.

Details

Date:
May 25
Cost:
Free
Event Categories:
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Other

Primary Speaker First Name
Alex
Primary Speaker Last Name
Bordei
Primary Speaker Bio
Alex Bordei is a developer turned Product Manager. He has been developing infrastructure products for over ten years. Before becoming Bigstep’s Director of Engineering, he was one of the core developers for Hostway Corporation’s provisioning platform. He then focused on defining and developing products for Hostway’s EMEA market and was one of the pioneers of virtualization in the company. After successfully launching two public clouds based on VMware software, he created the first prototype of the Bigstep platform, in 2011. He is engaged in mapping out ever more useful perspectives on the big data paradigm in order to encourage exploration and innovation through big data.
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