Data Preparation State of the Union
How to Establish Self-Service Data Preparation and Enterprise Data Unification
Date: This event took place live on December 06 2016
Duration: Approximately 60 minutes.
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Most organizations are striving to convert data into a competitive advantage – but there's an immediate and daunting problem: How do you unify and prepare your data for analysis?
Large, heterogenous data volumes are spreading rapidly across most enterprises, and there's a need for new solutions that allow for both self-service data preparation and enterprise data unification. Join Tamr Co-Founder Ihab Ilyas, and Trifacta Co-Founder Joseph Hellerstein, as they deliver a "State of the Union" on data preparation, and discuss how two distinct methods: self-service data preparation and enterprise data unification solve fundamentally different, but related challenges.
In this webcast, you'll learn:
About Ihab Ilyas, Professor of Computer Science, University of Waterloo and Co-Founder at Tamr
Ihab Ilyas is a professor of computer science at the University of Waterloo. His primary research is in the area of database systems, with special focus on data quality, managing uncertain data, rank-aware query processing, and information extraction. Dr. Ilyas holds BS and MS degrees in computer science from Alexandria University and received his PhD in computer science from Purdue University, West Lafayette, Indiana in 2004. From 2011 to 2013, he took leave from his university to lead the Data Analytics Group at the Qatar Computing Research Institute. He spent two summers with IBM Almaden Research Center, and he has been an IBM CAS faculty fellow since 2006. He is a recipient of the Ontario Early Researcher Award (2008), the David R. Cheriton Faculty Fellowship (2013), and the NSERC Discovery Accelerator Award in 2014.
About Joseph Hellerstein, Chief Strategy Officer at Trifacta and Professor at Berkeley
Joseph M. Hellerstein is the Jim Gray Professor of Computer Science at the University of California, Berkeley. His research focuses on data-centric systems and the way they drive computing. A Fellow of the ACM, his work has been recognized via awards including an Alfred P. Sloan Research Fellowship, MIT Technology Review's TR10 and TR100 lists, Fortune Magazine's "Smartest in Tech" list, and three ACM-SIGMOD "Test of Time" awards. He has led a number of influential open source projects, including Bloom, MADlib, and Telegraph. In 2012, Joe co-founded Trifacta, Inc, where he currently serves as Chief Strategy Officer.
About Toph Whitmore
Toph Whitmore is a Blue Hill Research principal analyst covering the Big Data, analytics, marketing automation, and business operations technology spaces. His research interests include technology adoption criteria, data-driven decision-making in the enterprise, customer-journey analytics, and enterprise data-integration models. Before joining Blue Hill Research, Toph spent four years providing management consulting services to Microsoft, delivering strategic project management leadership. More recently, he served as a marketing executive with cloud infrastructure and Big Data software technology firms. A former journalist, Toph's writing has appeared in GigaOM, DevOps Angle, and The Huffington Post, among other media. Toph resides in North Vancouver, British Columbia, Canada, where he is active in the local tech startup community as an angel investor and corporate advisor.