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UID:datagrillen.com
DTSTAMP:20260426T112516Z
DTSTART;VALUE=DATE:20260521
DTEND;VALUE=DATE:20260523
SUMMARY:DataGrillen 2026
DESCRIPTION:### Overview\nDataGrillen returns in 2026 as a premier event for data professionals who want to explore the latest in data platforms\, data engineering\, and analytics in a community-driven setting. The event is described on the page as a data\, bratwurst\, and beer gathering focused on education\, networking\, and inspiration. The site emphasizes a distinctive culture of sharing practical knowledge in a relaxed\, barbecue-inspired environment. The page highlights the core themes of inspiration\, education\, and networking\, and frames DataGrillen as a place where attendees can learn from practitioners and peers while connecting with colleagues in the data space. The event content is delivered through a combination of sessions\, tracks\, and a schedule designed to showcase real-world data topics and hands-on learning opportunities.\n\n### Agenda and schedule\nThe page provides a dedicated “Schedule” link indicating a structured program. It also references a data-driven program with multiple sessions and tracks. On the page there is a section labeled Attendees\, Sessions\, Tracks\, and Days which helps convey the scale and organization of the event. Specifically\, the page notes:\n- ATTENDEES: 200\n- SESSIONS: 52\n- TRACKS: 4\n- DAYS: 2\nThese figures give a sense of the breadth of content and the community size attendees can expect. The site also highlights a ticketing option (Tickets) via a link to ti.to\, suggesting a formal process for registration and attendance. While the exact session names and speaker lineups are not enumerated on the page\, the presence of a schedule\, tracks\, and numerous sessions implies a diversified program that covers a range of data topics from technical deep dives to strategic discussions.\n\n### What to expect\nDataGrillen 2026 is described as a two-day event that brings together the best and brightest in the data platform world for learning\, connecting\, and collaboration. The event format combines a traditional program with informal networking opportunities\, including a data-driven BBQ atmosphere that emphasizes conversation and relationship-building among attendees. The page mentions the value of ongoing education and continuous professional development\, positioning DataGrillen as a venue for free training and high ROI for IT professionals.\n\n### Who should attend\nThe event targets data professionals who want to stay ahead in the data platform space\, including developers\, engineers\, data scientists\, and IT decision-makers seeking practical insights and peer interaction. The site frames attendance as an opportunity to be inspired by real-world sessions\, to learn through education\, and to network with peers in a relaxed setting. The sponsor and volunteer content further underscored the community-driven nature of the event\, suggesting a collaborative atmosphere that favors knowledge sharing and professional networking.\n\n### Logistics and community aspects\nThe event page emphasizes a community-centric experience with a focus on sessions\, tracks\, and a schedule\, accompanied by a social\, food-forward environment. Sponsorship mentions and partner logos hint at a well-supported event with community engagement\, while the registration link points to formal ticketing channels. Overall\, DataGrillen 2026 presents a compelling package for professionals seeking substantial content\, meaningful connections\, and an engaging attendee experience over two days.\n\n### FAQ and notes\nThe page references a traditional in-person format with a strong emphasis on sessions\, tracks\, and networking. While specific venue details\, city\, and country are not explicitly disclosed on the page\, the content indicates an in-person conference model with an active schedule and a vibrant sponsor ecosystem. Attendees can expect a curated program with a mix of talks\, discussions\, and opportunities to connect with peers and sponsors over the course of two days.\n\nhttps://datagrillen.com?ref=ainave
LOCATION:Lingen\, Germany\, DE
URL;VALUE=URI:https://datagrillen.com?ref=ainave
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