The story of Big Data technology has centered on engines, algorithms, and statistical methods for data analysis. Less has been said -and too little has been done-regarding technology to improve the lives of data analysts. In this talk I’ll highlight recent research from Berkeley and Stanford targeted at improving productivity across the data lifecycle, using technology to address the scarcest resource in Big Data: people.
Joseph M. Hellerstein is a Chancellor’s Professor of Computer Science at the University of California, Berkeley, whose work focuses on data-centric systems and the way they drive computing. He is an ACM Fellow, an Alfred P. Sloan Research Fellow and the recipient of two ACM-SIGMOD “Test of Time” awards for his research. In 2010, Fortune Magazine included him in their list of 50 smartest people in technology , and MIT’s Technology Review magazine included his Bloom language for cloud computing on their TR10 list of the 10 technologies “most likely to change our world”.
In 2012, Joe joined with Jeff Heer and Sean Kandel to found Trifacta, a company developing intuitive, powerful, and remarkably useful technologies for data analysis.
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