Practical Tips on Handling Big Data
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.
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.