Practical Tips on Handling Big Data

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Big Data is often shrouded in mystery and jargon. Brian will attempt to demystify the topic through a series of short vignettes on how to pragmatically deal with Big Data.

Presentation Info: 

Dr. Brian will show us how to avoid Big Data problems in the first place, scaling code, divide-and-conquer methods, and near-term future trends for Big Data algorithms.

Meet Your Speaker: 

Dr. Brian Spiering is a professor of Data Science at Galvanize University, which is industry-driven, outcomes-focused education institution offering a Masters in Data Science. He teaches Natural Language Processing (NLP), Data Engineering, and Deep Learning.

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