Data analysts routinely report spending more time “wrangling” their data than performing analysis per se. In this tutorial we focus on the ever-present yet oft-overlooked challenges of Data Transformation, including discovery, structure, content and curation. We emphasize recent approaches that jointly emphasize interaction and inference, leveraging both human acuity and computational power.
Joseph M. Hellerstein is co-founder and CEO of Trifacta, and a Chancellor’s Professor of Computer Science at the University of California, Berkeley. His 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 three 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”.
Jeffrey Heer is a co-founder and CXO (Chief Experience Officer) at Trifacta Inc. Jeff spent the last many years as a professor of Computer Science at Stanford University, where he led the Stanford Visualization Group. His group has created a number of popular tools, including D3.js (Data-Driven Documents) and Data Wrangler. In Fall 2013, Jeff joined the faculty of Computer Science & Engineering at the University of Washington. In 2009 Jeff was named to MIT Technology Review’s TR35; in 2012 he was named a Sloan Foundation Research Fellow. He holds BS, MS and PhD degrees in Computer Science from the University of California, Berkeley.
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