StreamSets to Empower Data Experts Through Its International, Multi-City Roadshow
StreamSets, a Software AG company, today announced StreamSets Roadshow, a series of international in-person educational and networking events to support data practitioners and leaders, with its first event series launching on November 1, 2022 in San Mateo. Each event will explore the role of data integration as a key enabler to advanced innovation and digital transformation and feature insights from industry experts such as Simon Rogers, data editor at Google and co-host of The Data Journalism Podcast; Tristan Zajonc, CEO and co-founder of Continual; Jaimita Bansal, VP and lead data scientist at Goldman Sachs; Doug Laney, Data & Analytics Innovation Fellow at West Monroe and Author of “Infonomics”; and more.
During the events, StreamSets will offer two tracks, or sessions, that will feature local industry leader presentations, networking events and transformational workshops where individuals will learn how to turn data into value.
Events will be available starting November 1 and will run through the first two quarters of 2023. Locations will include major cities across the U.S. and select cities in Australia, Canada, England, France, Germany, Scotland, Singapore, and Spain.
Currently, the registration fee is $49 USD a person, but for a short time, interested attendees can use the following promo codes for free attendance:
Sponsorship opportunities are also available and provide partner companies the opportunity to build brand awareness, generate leads and network with data professionals.
To view upcoming dates and locations for StreamSets Roadshow and to register, please visit streamsets.com/roadshow/.
About StreamSets
At StreamSets, our mission is to make data engineering teams wildly successful. The StreamSets DataOps Platform empowers engineers to build and run the smart data pipelines needed to power DataOps across hybrid and multi-cloud architectures. That’s why the largest companies in the world trust StreamSets to power millions of data pipelines for modern analytics, AI/ML and smart applications. With StreamSets, data engineers spend less time fixing and more time doing. To learn more, visit www.streamsets.com and follow us on LinkedIn.