Tye Rattenbury, Joseph M. Hellerstein, Jeffrey Heer

Broschiertes Buch

Principles of Data Wrangling

Practical Techniques for Data Preparation

Beschreibung

Written by key executives at Trifacta, this book teaches you a shared language and a comprehensive understanding of data wrangling, with an emphasis on recent agile analytic processes used by many of today's data-driven organizations.

Autor

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 Trifacta's 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 Trifacta's Chief Experience Officer and a Professor of Computer Science at the University of Washington, where he directs the Interactive Data Lab. Jeffrey's 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 Review's list of "Top Innovators under 35". Sean Kandel is Trifacta's 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 Trifacta's 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.

Produktdetails

• Verlag: O'Reilly Media, Inc, USA
• Seitenzahl: 92
• Erscheinungstermin: 28. Juli 2017
• Englisch
• Abmessung: 233mm x 177mm x 7mm
• Gewicht: 184g
• ISBN-13: 9781491938928
• ISBN-10: 1491938927
• Artikelnr.: 48694446