Overview
data2day is a conference focused on data science, data engineering, and data teams. The event is held in Cologne, Germany, with a strong emphasis on practical, real-world data work. The program is designed to appeal to a wide audience, ranging from beginners looking to learn the fundamentals of data science and machine learning to professionals seeking deeper insights into architectures, processes, and working models for data-driven organizations. The site describes data2day as the meeting point for the data community since 2014, marking its role as a hub for learning, exchange, and networking in the field of data.
Schedule and Tracks
The page presents a two-day conference spanning topics relevant to data professionals. Guided content includes modern data architectures, data management and quality, data products, governance, and the practical application of agency and generative AI. Attendees can expect a mix of foundational content suitable for data beginners and more advanced sessions covering architectures, processes, and best practices for data professionals. The site notes ongoing sessions, talks, and workshops as part of the program, with emphasis on real-world use cases and hands-on learning. An explicit CFP process is mentioned, inviting proposals for talks and full-day workshops, indicating an active community-driven program development.
Format and Attendees
The event appears to be an on-site conference designed for individuals and teams working in data science, data engineering, and data analytics. In addition to main conference sessions, there is a call for proposals (CfP) inviting speakers to submit topics, suggesting a diverse range of tracks and sessions managed by a program committee. Networking and community engagement are implied through the emphasis on knowledge exchange and practical insights, with the event offering opportunities to connect with peers and sponsors.
Who Should Attend
.data2day targets data scientists, data engineers, data analysts, software developers involved in data projects, and team leads who want to stay informed about the latest data trends, tools, and governance practices. The site highlights topics such as data architectures, data contracts, governance, and the integration of generative AI into data workflows, which are relevant to both beginners and seasoned professionals seeking to advance their practice.
Location and Logistics
The conference is scheduled to take place in Cologne, Germany, on October 7 and 8, 2026. The site emphasizes in-person attendance, with information about tickets and pricing mentioned (including early bird options such as a Blind Bird ticket) and group discounts for larger teams. Additional venue details, hotels, and local logistics are implied to be available via the event site, with a focus on delivering a comprehensive on-site conference experience.
Speakers and Sessions
While the page references speakers and program details, it does not provide a definitive speaker list in the content extracted here. The program is described as including sessions, tracks, and workshops, and the CfP process indicates active engagement from the data community to shape the program with relevant topics and expert speakers. Attendees can expect a mix of talks and hands-on sessions curated to cover both fundamentals and advanced data topics.
FAQs and Practical Details
The site mentions ticket options, including group discounts and Blind Bird tickets, and references a CfP overview for prospective speakers. There is also a focus on practical learnings, networking, and catering, reinforcing the conference as an opportunity to gain actionable insights and connect with peers in the data field.
Audience Takeaway
data2day offers a structured environment for learning, exchanging ideas, and networking within the data community. It aims to bridge the gap between theory and practice, providing attendees with knowledge on modern data architectures, data governance, and the application of AI in data workflows, while fostering community involvement through CfP participation and sponsor interactions.
