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Introducing Data Integration Universe: a new event for data professionals
2026-01-28 · /gluesync/data-integration-universe/
MOLO17, in collaboration with Software Products Italia (SoftPI), is proud to launch Data Integration Universe, the first-of-its-kind event for data professionals. This innovative event is designed to explore the latest trends, tools and strategies in modern data integration, helping organizations turn complex data into actionable insights and smarter business decisions.
Event details
- Date: April 23, 2026 | 10:00 – 17:00
- Location: Grand Hotel Adriatico, Via Maso Finiguerra 9, 50123 Florence, Italy
Why attend Data Integration Universe
Today’s data environments are more complex than ever. Organizations deal with heterogeneous systems, cloud databases, legacy applications and advanced analytics platforms that demand robust, scalable and real-time data integration solutions.
At Data Integration Universe, attendees will gain practical knowledge and hands-on insights through:
- keynotes from leading sponsors covering real-time database connectivity, API integration, AI-driven data insights and data alerting systems.
- technical sessions on event-driven architectures, agent mesh frameworks and AI in modern data management.
- interactive discussions with industry leaders from Solace, Waypoint Reply and other top companies to be confirmed…
This data management conference provides a unique opportunity to connect with data professionals, see live demonstrations and explore real-time replication, cross-platform synchronization and automated data workflows.
Who should attend
Whether you are a developer, data engineer, IT leader, or data management professional, this event is designed to help you:
- discover cutting-edge tools and strategies for real-time data integration.
- learn how to manage complex data ecosystems efficiently.
- turn your organization’s data into a strategic business advantage.
Free admission – limited seats
The event is completely free, but registration is required as seating is limited.