Rethinking Data-Intensive Science Using Scalable Analytics Systems

Authors

• 1. Frank Austin Nothaft (University of California Berkeley)
• 2. Matt Massie (University of California Berkeley)
• 3. Timothy Danford (Genomebridge; University of California Berkeley)
• 4. Zhao Zhang (University of California Berkeley)
• 5. Uri Laserson (Cloudera)
• 6. Carl Yeksigian (Genomebridge)
• 7. Jey Kottalam (University of California Berkeley)
• 8. Arun Ahuja (Icahn School of Medicine at Mount Sinai)
• 9. Jeff Hammerbacher (Cloudera; Icahn School of Medicine at Mount Sinai)
• 10. Michael Linderman (Icahn School of Medicine at Mount Sinai)
• 11. Michael J. Franklin (University of California Berkeley)
• 12. Anthony D. Joseph (University of California Berkeley)
• 13. David A. Patterson (University of California Berkeley)

@inproceedings{nothaft_sigmod15,
        title = {{Rethinking Data-Intensive Science Using Scalable Analytics Systems}},
        author = {Nothaft, Frank Austin and Massie, Matt and Danford, Timothy and Zhang, Zhao and Laserson, Uri and Yeksigian, Carl and Kottalam, Jey and Ahuja, Arun and Hammerbacher, Jeff and Linderman, Michael and Franklin, Michael J. and Joseph, Anthony D. and Patterson, David A.},
        series = {{SIGMOD} '15},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/2723372.2742787},
        url = {https://dl.acm.org/doi/10.1145/2723372.2742787},
        year = {2015}
}

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