
Data Product Architecture
May 28th, 2025 - 11 AM CET
Witboost and Adorsys present the second of a three-part series, this time on Data Product Architecture.
This session will provide a reference architecture for data products, highlighting the most suitable technologies and the critical output ports to prioritize in the early stages.
Details
Building a strong data product architecture is key to ensuring scalability, security, and efficiency. A well-defined blueprint allows organizations to seamlessly integrate data contracts, metadata, and quality measures while leveraging the right technologies.
We’ll explore where data contracts fit into the picture, common patterns, and best practices for incorporating metadata and semantics into the architecture.
Additionally, we’ll discuss how to embed data quality into the blueprint and strategies for resource segregation to enhance security and optimize billing.
Through real-world examples, we will showcase best practices for designing an effective and future-proof data product architecture.
Join us to gain actionable insights and build a solid foundation for your data-driven initiatives.
MEET THE SPEAKERS
Johannes Meyer is a seasoned technology expert with a rich background spanning software development, consulting, and IT leadership. He has delivered innovative solutions across diverse sectors—from automotive supply and telecommunications to banking—and has held key roles as CTO, Product Owner, and Enterprise Architect. Today, as Head of Information Management & AI at adorsys, he is dedicated to fusing meaning with data, inspiring clients with semantic knowledge representation, and developing cutting-edge semantic data products. His work encompasses building robust semantic layers and leveraging generative AI and agent systems—the essential foundation for truly intelligent data ecosystems. Eager to drive breakthrough innovations, he thrives on collaborative creativity that transforms complex challenges into accessible solutions.

After earning a master’s degree in Telecommunications Engineering from Politecnico di Torino, Paolo specialized in distributed technologies, achieving top certifications in software development. He co-founded Agile Lab in 2014, where he serves as CTO, leading Operations and Architectures in Big Data and AI. Over the years, he has worked on complex Big Data projects across Europe.Since 2019, Paolo has emerged as a leader in Data Mesh and Data Strategy, driving six large-scale implementations, contributing to the community, and creating Witboost, a Data Product Management platform.
