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About the Author Tye Rattenbury is Trifacta's lead data scientist. He holds a Ph.D. in Computer Science from UC Berkeley. Prior to Trifacta, he was a Data Scientist at Facebook and the Director of Data Science Strategy at R/GA.Joe Hellerstein is Trifactas Chief Strategy Officer and a Professor of Computer Science at Berkeley. His career in research and industry has focused on data-centric systems and the way they drive computing. In 2010, Fortune Magazine included him in their list of 50 smartest people in technology, and MIT 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 Trifactas Chief Experience Officer and a Professor of Computer Science at the University of Washington, where he directs the Interactive Data Lab. Jeffreys passion is the design of novel user interfaces for exploring, managing and communicating data. The data visualization tools developed by his lab (D3.js, Protovis, Prefuse) are used by thousands of data enthusiasts around the world. In 2009, Jeffrey was named in MIT Technology Reviews list of 'Top Innovators under 35'.Sean Kandel is Trifactas Chief Technical Officer. He completed his Ph.D. at Stanford University, where his research focused on user interfaces for database systems. At Stanford, Sean led development of new tools for data transformation and discovery, such as Data Wrangler. He previously worked as a data analyst at Citadel Investment Group.Connor Carreras is Trifactas Manager for Customer Success, Americas, where she helps customers use cutting-edge data wrangling techniques in support of their big data initiatives. Connor brings her prior experience in the data integration space to help customers understand how to adopt self-service data preparation as part of an analytics process. She holds a B.A. from Princeton University. Read more Click Here to Read Principles of Data Wrangling: Practical Techniques for Data Preparation Online! Hey My name is Melinda Bowen and I am here to explain my thoughts on this great book written Principles of Data Wrangling: Practical Techniques for Data Preparation referred to as Principles of Data Wrangling: Practical Techniques for Data Preparation. With a multitude of bogus

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