Live Webinar December 6th, 2016 1:00 PM – 2:00 PM EST
Activity Type: Education – Course or Training  1 Hour  1 PDU free
Provider: O’Reilly

How to Establish Self-Service Data Preparation &
Enterprise Data Unification

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  Ihab Ilyas, and 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:

• Why traditional approaches to data preparation, like ETL, and manual methods, like Excel cut-and-paste, are inefficient for today’s volume of data.
• How you can better enable your less-technical users, who are often the ones most familiar with the content and context of the data.
• Self-service approaches that accelerate and democratize data analytics
• How to plan for an enterprise-wide data unification solution that’s systematic and scalable

Presenters:

Dr. Ihab Ilyas (LinkedIn profile) Co-Founder at Tamr, is also a professor of computer science at the University of Waterloo. Ihab’s 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.  Ilyas received his PhD in computer science from Purdue University 2004. Ihab also led the Data Analytics Group at the Qatar Computing Research Institute and spent two summers with IBM Almaden Research Center.  An IBM CAS faculty fellow since 2006, Ihab 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.

Joseph M. Hellerstein (LinkedIn profile) Chief Strategy Officer at Trifacta, 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. AnACM Fellow, 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.

Toph Whitmore (LinkedIn profile) Principal Analyst Blue Hill Research,covers 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. Toph also spent four years providing management consulting, delivering strategic project management leadership and recently,  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  is active in Vancouvers tech startup community as an angel investor and corporate advisor.

Click to register for:
Data Preparation State Of The Union

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