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Trifacta v4 represents the most significant product release since the original launch of the company. The v4 release expands upon Trifacta’s award-winning approach to data wrangling, with capabilities specifically designed to work for more users, more diverse data sources and within more cloud environments. In this webinar, we’ll cover how the v4 release provides customers with an enhanced user experience, improved performance and scale as well as extended connectivity and cloud deployment support.

The webinar will feature members of Trifacta’s product and UX team as they share a comprehensive overview and live demo of this breakthrough new product release. Specifically you’ll learn:

  • How new user experience features in v4, such a Builder and Pattern Profiling, make data wrangling faster and easier
  • Why the Photon Compute Engine is critical to improving the scale and performance of Trifacta
  • New connectivity and cloud deployment options available in v4


Wei IconWei Zheng
VP of Products, Trifacta

Wei combines her passion for technology with experience in Enterprise Software to define and shape Trifacta’s product offerings. She believes strongly in innovative technology that solves real world business problems. Prior to Trifacta, she led product management efforts at Informatica, where she helped launch several new solutions including its Hadoop and data virtualization products.


philip-vander-broek-225x180Phil Vander Broek
User Experience Manager, Trifacta

Designing at Trifacta is a unique experience: we’re solving the difficult complexities of enterprise software and big data with a collaborative, design thinking approach. Deeply integrating design into the organization and the development process ultimately allows us to create a product that our users find both highly valuable and enjoyable.


""Trifacta brought an entirely new level of productivity to the way our analyst and IT teams explore diverse data and define analytic requirements. Our users can intuitively and collaboratively prepare the growing variety of data that makes up PepsiCo’s analytic initiatives.""

""We were actually able to shave the amount of time it took to do the analysis by [a factor of] six. Rather than having to do a tremendous amount of analysis, we’re actually readily able to start getting incremental data products out quickly.""