Conference Description
Key Takeaways
- Two-day conference covering Data Science, Data Engineering, and Data Analytics for technical practitioners and team leaders
- Sessions address agentic analytics, AI agents, data contracts, and modern governance frameworks
- Case studies from AUDI, Siemens, METRO Markets, and E.ON demonstrate real-world implementations
- Technical deep dives into Lakehouse architectures, Semantic Layer, and Data Mesh patterns
- Legal and security considerations for AI systems feature alongside technical content
About data2day
data2day returns to Cologne on October 7 and 8, 2026, continuing a conference series that began in 2014. The event brings together data professionals for two days of technical sessions, practical case studies, and peer networking. The programme balances introductory content for those newer to data roles with advanced architectural and methodological sessions for experienced practitioners.
Gold sponsors Adorsys and INNOQ support the 2026 edition, alongside silver sponsors dataquill and inovex. The in-person format includes lectures, catering, and evening social events designed to facilitate direct exchange between attendees and speakers.
Technical Focus Areas
The conference programme spans several interconnected themes in modern data practice. Agentic analytics and AI agents in production environments represent a significant thread, examining how autonomous systems can be deployed effectively within enterprise data workflows.
Data architecture sessions explore Lakehouse patterns, Semantic Layer implementations, and open data stacks. Related content addresses Data Mesh and Data Fabric approaches, providing attendees with comparative perspectives on distributed data architectures. The Data-as-a-Product concept features prominently, reflecting industry movement toward treating data assets with product management disciplines.
Data quality and governance receive dedicated attention through sessions on Data Contracts and modern governance frameworks. These topics connect directly to compliance requirements facing organisations working with sensitive or regulated data.
Legal and Security Considerations
The programme includes sessions examining legal and security aspects of AI systems. As organisations deploy more sophisticated data and AI capabilities, understanding regulatory boundaries and security implications becomes essential for technical teams responsible for implementation.
Who Should Attend
data2day targets Data Scientists, Data Engineers, Data Analysts, and Software Developers working in data-intensive roles. Team leaders and technical managers responsible for scaling data capabilities will find relevant content on team development and architectural decisions. Attendees typically come from IT, analytics, and digital transformation departments within medium to large enterprises, technology companies, consultancies, and research institutions.