"2025 Data Expertise: Insights for Data Science, Engineering, and Analytics"
In November 2025, the data2day conference returns for its 12th edition, promising a wealth of knowledge and hands-on experience for data enthusiasts. The conference, scheduled for November 4-5 at the IHK Karlsruhe, is set to be a two-day extravaganza filled with over 30 presentations and workshops led by experienced experts.
The event kicks off a day before the main conference with three full-day workshops. These pre-conference sessions offer participants an opportunity to delve deeper into specific topics, such as data architectures, pipelines, data quality and governance, Agentic AI, data privacy, and more.
One of the workshops, led by Simon Harrer, focuses on "Data Contracts in Practice". In this interactive session, participants will take on roles like data producer, consumer, and moderator to gain a practical understanding of data contracts. This workshop promises a collaborative and team-oriented approach to learning, making it an ideal opportunity for those looking to enhance their skills in this area.
Another workshop, led by Patrick Seifert and Maximilian Lattka, is titled "From Raw Data to Cloud-based Dashboard with Python, Jupyter, Panel, and AI". In this workshop, participants will learn how to manage data and create cloud-based dashboards using these tools. The session is designed to be interactive, allowing attendees to gain hands-on experience and practical skills.
Early bird registration for the conference is open until September 25, 2025. Don't miss out on the opportunity to save on your registration fee and secure your spot at what promises to be an unforgettable event in the world of data.
The data2day conference is more than just a learning opportunity; it's a community of data professionals coming together to share knowledge, network, and grow. Whether you're a seasoned data expert or just starting out, the data2day conference 2025 offers something for everyone. Join us in November to be a part of this exciting journey into the world of data processing and analysis.
