Ray DataFrames: A library for parallel data analysis

Ray DataFrames: A library for parallel data analysis

Patrick Yang Anthony D. Joseph, Ed.

Electrical Engineering and Computer Sciences University of California at Berkeley

Technical Report No. UCB/EECS-2018-84

May 22, 2018

Copyright ? 2018, by the author(s). All rights reserved.

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Acknowledgement

I would like to sincerely thank Professor Anthony Joseph for advising me during my candidacy. His advice and steadfast condence despite my uncertainty on my project were invaluable throughout the year. I thank Professor Ion Stoica for his interest and advice on my work. I would also like to especially thank Devin Petersohn for his unwavering work ethic and dedication to the Ray DataFrames project and his consistent support of my research and goals. I thank Taner Dagdelen for introducing me to the AMP Big Data Genomics group providing me with a research opportunity during my undergraduate career.

Finally, I would like to thank my friends and family for their support during my last four years at Berkeley.

Ray DataFrames: A library for parallel data analysis by

Patrick Yang

A technical report submitted in partial satisfaction of the requirements for the degree of Master of Science in

Electrical Engineering and Computer Science in the

Graduate Division of the

University of California, Berkeley

Committee in charge: Professor Anthony D. Joseph, Chair

Professor Ion Stoica Spring 2018

Ray DataFrames: A library for parallel data analysis

Copyright 2018 by

Patrick Yang

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