Power To All Data People: Accelerate Collaboration With The New Open-Source Data Product Portal

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Date and time

Thursday
26
September
16:00 CEST
Register now

Power To All Data People:
Learn how the Data Product Portal helps enterprises create a data culture of collaboration
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Portal is a new open-source project that aims at breaking down the walls between technical users and business users. Our mission with Portal is to promote collaboration as the key to building strong data products. 

Join us for an exciting discussion between two data management leaders on the very practical aspects of making this vision work for the reality of enterprise data landscapes today.

Join Wannes from Conveyor (the engineering team behind Portal) and Amy from Thoughtworks (leading global tech company) to ask practical questions and discover how you too can contribute to Portal and why any data professional should.

Register here to join the live conversation or to receive the video and notes after the live event ends.
September 26th, 2024
4:00 PM CEST


Wannes Rosiers
Data platform evangelist and Head of Customer Success at Conveyor. Wannes has a rich background in leading large data and machine learning teams in the Benelux region and is recognized as a Data Mesh Learning MVP. At Conveyor, he advocates for a balanced approach to data management, helping companies leverage both internal and external solutions for optimal success.

Amy Raygada
As a newly appointed Principal Data Strategist and Data Engineer at Thoughtworks, Amy is a dynamic leader with over 13 years of experience in aligning data strategy with business growth. With a strong focus on business intelligence, data governance, and digital transformation, Amy has a proven track record of leading high-performance teams and driving strategic decision-making through data. In this webinar, Amy will explore how the Data Product Portal empowers diverse user personas, from technical experts to business executives, enabling seamless collaboration and strategic alignment.

Help us create a shared data culture of collaboration: